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      Whale optimization algorithm pdf 2021. 2021;Vamsi Krishna Reddy Aala Kalananda 2021;Yankai et al.



      • Whale optimization algorithm pdf 2021 Thereafter, they swim upward by following the created bubbles path to catch the prey. Generating a random whale population is the 铿乺st step of the algorithm. Update the position of the current whale by Equation (9); 14. The value is controlled using Feb 1, 2022 路 In recent years, researchers have proposed a number of new meta-heuristic algorithms by mimicking the natural behavior of insects, fish, and other community organisms, including the Particle Swarm Algorithm (PSO) (Kennedy and Eberhart, 1995), the Bacterial Foraging Optimization Algorithm (BFO) (Passino, 2002), the Artificial Bee Colony (ABC) (Karaboga and Basturk, 2007), the Cuckoo Search Dec 5, 2021 路 The whale optimization algorithm (WOA) is a natural-inspired effective optimization algorithm by imitating the behavior of whales rounding up their prey. Whale optimization algorithm. In previous studies, WOA has been observed to exhi Nov 30, 2021 路 This paper introduces the Whale Optimisation Algorithm (WOA) based on the swarm foraging behavior of humpback whales to optimise neural network hyperparameters and implements a third dimension feature analysis to the original WOA algorithm to utilize 3D search space. Moreover, to reach the goal of accuracy, the proposed strategy considers three important fitness objectives, namely, the number of selected features, the accuracy of classification, and whale optimization algorithm based on multi-leader guiding is proposed in this paper, which attempts to offer a proper framework to apply whale optimization algorithm and other swarm intelligence algorithms to solving multi-objective optimization problems. Keywords: Whale optimization algorithm, Skew Tent chaotic map, nonlinear convergence factor, inverse incomplete 饾洡 function 1. To solve the problems that whale optimization algorithm is easy to fall into local optimization and slow convergence speed, and the improved whale Jan 1, 2024 路 This chapter investigates how the Whale optimization algorithm, one of the nature-inspired algorithms, can be applied to various machine learning problems such as feature selection, tuning the parameters of SVM classifiers and K-means clustering, and tuning the hyperparameters of artificial neural networks to improve their performance. For constructing the algorithm, the whale optimization algorithm (WOA) mimics the foraging behavior of humpback whales. First, an inertia weight factor is introduced into the surrounding prey and bubble-net attack formulas of the whale optimization algorithm. Due to its simple structure and efficiency, the researchers employed the algorithm to May 6, 2022 路 e whale optimization algorithm (WOA) is a nature-inspired metaheuristic optimization algorithm, which was proposed by Mirjalili and Lewis in 2016. This is an intelligent way of catching a school of fish by creating and shrinking net of bubbles to drive them May 27, 2023 路 Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving some optimization problems, it faces many issues. , 2017, El Aziz et al. Vijayarani1 Published online: 4 August 2020 Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Association rule mining (ARM) is a well-known data mining scheme that is used to discover the commonly co-occurred Dec 13, 2021 路 Previous article Whale optimization algorithm (WOA) talked about the inspiration of whale optimization, its mathematical modeling and algorithm. The second is to seek a new metaheuristic algorithm for This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback whales. Oct 7, 2024 路 Whale optimization algorithm (WOA) is a new bio-meta-heuristic algorithm presented to simulate the predatory humpback whales' behavior in the ocean. NIO algorithms, particularly SAs, are versatile, simple to use, and this has greatly helped to solve problems in science and engineering field. The individual whales in the algorithm update their position and estimate the position of the prey through certain optimization strategies to achieve the algorithm to find the optimal and converge to the optimal solution, which is the coordinate value of the node to Jan 16, 2022 路 Whale optimization algorithm (WOA) has been developed based on the hunting behavior of humpback whales. As a result, it tends to trap in local optima and suffer from low solution accuracy. Nov 30, 2021 路 In this paper, we introduce the Whale Optimisation Algorithm (WOA) based on the swarm foraging behavior of humpback whales to optimise neural network hyperparameters. In recent years Nov 7, 2021 路 One of the biggest challenge in the field of deep learning is the parameter selection and optimization process. This paper proposes the object search method based on the whale optimization algorithm that inherits the previous global best value (IGP-WOA), which has the advantages of fast convergence and multiple search methods. Jan 29, 2021 路 The rest of this paper is structured as follows: Section 2 briefly introduces the original seagull optimization algorithm; Section 3 briefly introduces the original whale optimization algorithm; Section 4 introduces the hybrid whale optimization with seagull algorithm (WSOA); Section 5 is the experimental results and analysis; Section 6 performance than other well-known algorithms. Sharmila1 • S. The mathematical models of this algorithm is then discussed. First, the crossover and mutation operations in Differential Mar 1, 2023 路 The Whale Optimization Algorithm (WOA) is one of the recent meta-heuristic algorithms. This problem has two primary implications, which are the planning of tasks on virtual machines and Dec 30, 2020 路 The whale optimization algorithm is a new type of swarm intelligence bionic optimization algorithm, which has achieved good optimization results in solving continuous optimization problems. IWOA can enhance the global search capability by two measures. Based on the analysis of whale optimization algorithm, we point out the disadvantages of whale optimization algorithm, and propose a modified whale optimization algorithm algorithm from four aspects: choice regarding the dimension, exploration control, encircling prey modified, and candidate solution selection. Oct 19, 2024 路 The Whale Optimization Algorithm (WOA) is regarded as a classic metaheuristic algorithm, yet it suffers from limited population diversity, imbalance between exploitation and exploration, and low Aug 1, 2021 路 Software reliability growth models are nonlinear in nature, so it is difficult to estimate the proper parameters. Through theoretical analysis and a large number of experiments, it has been shown that this method has higher solving speed and accuracy than traditional constrained optimization algorithms (Mirjalili and Lewis, 2016). This foraging behavior is called bubble-net feeding method that is only be observed in humpback whales. Dec 14, 2021 路 The whale optimization algorithm (WOA) has been shown to be powerful in searching for an optimal solution. In recent years different algorithms have been proposed including bio-inspired solutions to solve this problem, however, there are many challenges including local minima, saddle points, and vanishing gradients. Dec 8, 2021 路 This paper proposed a hybrid strategy improved whale optimization algorithm, which is based on the concepts of chaos initialization, nonlinear convergence factor and mutation. Jul 23, 2021 路 The particle swarm optimization (PSO) and the whale optimization algorithm (WOA) are two admired optimization methods that have drawn various researchers' attention. It was proposed by Mirjalili and Lewis [9] mimicking the hunting characteristics of humpback whales. In addition, we use integral images to find the fitness value (IGP-WOA-CII) in the Jan 1, 2024 路 This section represents a detailed analysis of the growth of the Whale Optimizer Algorithm (WOA) for the period from 2021 to August 2022. This paper presents a comprehensive analysis and survey of the WOA, examining its key components, variations, and applications. First, the metaheuristic algorithm is usually inspired from the phenomenon of nature, evolutionary, behaviors of animals or humans, which is based on a well-understand concept and easy to implement. 2. In this work, an enhanced WOA (WOAmM) is proposed. Nov 8, 2022 路 The whale optimization algorithm(WOA) based on the hunting behavior of whale groups proposed by Mirjalili et al (Mirjalili and Lewis 2016) is a novel swarm-based intelligent optimization algorithm. WOA or Whale Optimization Algorithm is a new evolutionary method to solve optimizing problems. The main idea of the algorithm is to solve the target problem by imitating the whale’s predatory behavior . Though it has a considerable convergence speed, WOA suffers from diversity in the solution due to the low exploration of search space. The algorithm is inspired by the bubble-net hunting strategy. Mar 19, 2021 路 In this study, the whale optimization algorithm (WOA), an optimization method developed based on the behavior of whales, was explained in detail and aimed at increasing the global Feb 18, 2023 路 Whale Optimization Algorithm (WOA) is an emerging nature-inspired, swarm-intelligence based algorithm to solve optimization problems more efficiently. Expand Jan 31, 2021 路 A modified whale optimization algorithm integrated with a crisscross optimization algorithm (MWOA-CS) is proposed that provides better convergence speed and accuracy, and meanwhile, displayed a significantly more effective and robust performance than the original WOA and other state of the art meta-heuristic algorithms for solving large scale global optimization problems. These problems are being challenging day by day. Unlike traditional approaches that lack satisfying capability in local optima avoidance, metaheuristics employ the population-based framework and gradient-free property, which are particularly appropriate for black-box optimization (Deng & Liu, 2023). Feb 1, 2022 路 The Whale Optimization Algorithm (WOA) is a new intelligent optimization algorithm proposed by Milgalili. Jun 24, 2021 路 This paper proposes a hybrid whale optimization algorithm (WOA) that is derived from the genetic and thermal exchange optimization-based whale optimization algorithm (GWOA-TEO) to enhance global Feb 23, 2021 路 The whale optimization algorithm (WOA) is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. A multi-objective model based on CPU, memory, time, and resource utilization was developed. Whale optimization algorithm Whale optimization algorithm was proposed by Jalili and Lewis for optimizing numerical problems (Mirjalili & Lewi, 2016). In previous studies, WOA has been observed to exhi problem. Feb 7, 2021 路 Whale Optimization Algorithm (WOA) is a swarm intelligence algorithm inspired by whale hunting behavior. Due to the high capacity of WOA in terms of exploitation, it is likely to fall into a local optimum as individuals of WOA lack communication. Jun 11, 2021 路 The current Whale Optimization Algorithm (WOA) has several drawbacks, such as slow convergence, low solution accuracy and easy to fall into the local optimal solution. Whale Optimization Algorithm (WOA) is a swarm intelligence algorithm inspired by whale hunting behavior. However, the high cost associated with real blade casting necessitates strategies to enhance product formation rates and mitigate cost losses stemming Sep 18, 2021 路 The WOA is a class of stochastic swarm intelligence optimization algorithms constructed by simulating the whale feeding process. In order to solve complex problems such as nonlinearity, global optimization, lo- May 6, 2022 路 The basic principles, algorithm flow and characteristics of the whale optimization algorithm are described, the range of algorithm parameters and their impact on algorithm performance are analyzed, and the algorithms in recent years are reviewed from three aspects: algorithm hybridization, operator improvement, and parameter optimization. Introduction. Mar 1, 2021 路 The profound analysis of the whale optimization algorithm discloses that the algorithm suffers from low exploration ability, lesser accuracy, and early convergence. Whale Optimization Algorithm (WOA) is a me-ta-heuristic and a new group intelligence optimization algorithm. Expand Aug 1, 2022 路 Jin et al. The algorithm is inspired by the bubble-net hunting strategy . Additionally, performance of the whale optimization algorithm and most of its variants in high-dimensional optimization problems is not satisfactory. In general, this analysis included the number of research published for the WOA per year, the number of citations obtained per year, and the selection of top authors working in WOA as well as the most important research centers or institutions which are Association rule mining using fuzzy logic and whale optimization algorithm S. Jul 2, 2021 路 Aquila Optimization (AO) is a recently proposed meta-heuristic algorithm, which has been proved to be more competitive than other meta-heuristic algorithms in function optimization and practical Then, using a hybrid whale optimization algorithm (HWOA) to optimize the model parameters of S3VM, the HWOA is mainly improved in two aspects; on the one hand, the chaotic population method is used to initialize the whale population to improve the algorithm’s local optimization ability; on the other hand, the population is improved by the Nov 12, 2024 路 Abstract. 2019; Sangaiah et al. Two of Jul 1, 2018 路 LXWOA and WOA have also been used to solve the problem of extraction of compounds from gardenia and the results are compared with original whale optimization algorithm, particle swarm optimization, differential evolution, gravitational search algorithms and Laplacian gravitational search algorithm. The distance between the food and humpback whales corresponds to the objective cost's value, while the positions of humpback whales are represented as decision variables. Dec 5, 2021 路 The profound analysis of the whale optimization algorithm discloses that the algorithm suffers from low exploration ability, lesser accuracy, and early convergence. This study proposes a novel improved WOA method (ImWOA) with increased Oct 25, 2024 路 Software malware detection and classification leverage sophisticated procedures and methods from the cybersecurity domain for identifying and categorizing malicious software, generally called malware. In this article we will implement a whale optimization algorithm (WOA) for two fitness functions 1) Rastrigin function 2) Sphere function The algorithm will run for a predefined number of maximum iterations and will try to find the minimum value of Zhang and Liu (2019) proposed a whale optimization algorithm basedonLamarckianlearning(WOALam)tosolvetheoptimiza- tionproblemofhigh-dimensionalfunctions. Nov 1, 2021 路 Whale Optimization Algorithm (WOA) is a metaheuristic algorithm based on the social behavior of humpback whales. Update the position of the current search by Equation (6); May 28, 2021 路 DOI: 10. Seagull optimization algorithm (SOA) inspired by the migration and attack behavior of seagulls in nature is used to Feb 1, 2022 路 Reference [8] proposed a strategy for optimizing support vector machines using the whale optimization algorithm, and simulation experiments illustrate that the use of the whale optimization Jan 1, 2024 路 Request PDF | On Jan 1, 2024, Laith Abualigah and others published Whale optimization algorithm: analysis and full survey | Find, read and cite all the research you need on ResearchGate May 28, 2021 路 Notwithstanding the superior performance of the Whale optimization algorithm (WOA) on a wide range of optimization issues, the exploitation in WOA gets more preference during the search process The MOBWO was compared using 12 datasets from the University of California Irvine (UCI) repository with eleven well-known optimization algorithms, such as Genetic Algorithm (GA), Sine Cosine Algorithm (SCA), Bat Optimization Algorithm (BOA), Differential Evolution (DE), Whale Optimization Algorithm (WOA), Non-dominated Sorting Genetic Algorithm Jan 1, 2021 路 PDF | On Jan 1, 2021, Tapas Si published Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms | Find, read and cite all the research you need on ResearchGate In recent years, in addition to traditional meta-heuristics such as differential evolution, scientists have developed new meta-heuristics, such as gene expression programming, firefly algorithm, the artificial bee colony algorithm, grey wolf optimization (GWO), the salp swarm algorithm (SSA), the butterfly optimization algorithm, and the whale Sep 5, 2022 路 Four characteristics can be summarized in metaheuristic algorithms: simplicity, flexibility, derivation-free mechanism, and local optima avoidance [16]. Thus, WOA has attracted scholars' attention, and researchers frequently prefer to employ and improve May 1, 2016 路 As a novel algorithm, the whale optimization algorithm (WOA) [34, 35] is widely proved to have good performance, fast convergence speeds and better balancing capability between the exploration and May 18, 2021 路 The experimental results show that compared with other optimization algorithms, the improved WOA has the advantages of high search accuracy, fast convergence speed, and avoiding falling into local optimal values. Mar 1, 2024 路 In recent years, metaheuristic techniques have served as a promising and prevalent tool to tackle sophisticated optimization problems. Jan 1, 2020 路 The whale optimization algorithm (WOA) [21] is a new swarm intelligent optimization algorithm, which simulates the predation behavior of humpback whales. Neural Computing and Applications, 2020. Nov 1, 2021 路 Whale optimization algorithm based on Lamarckian learning (WOALam) [39] is based on the evolutionary theory of Lamarck, individuals with more development potentials are selected to perform the local enhanced search to improve the performance of the algorithm. Keywords: whale optimization algorithm; optimization; deep learning; neural networks; hyperpa-rameters 1. Won-Joo Hwang, in Journal of Network and Computer Applications, 2021. It was first introduced by Seyedali Mirjalili, Andrew Lewis in 2016 To solve the limitations existing in the standard whale optimization algorithm (WOA), a convergence factor based on the sine function is designed to balance the exploration and development abilities of the WOA, furthermore, an improved opposition-based learning strategy is proposed to accelerate the convergence rate of the algorithm, in addition, the mutation operation based on the population This paper proposes a novel hybrid algorithm, called whale optimization with seagull algorithm (WSOA), for solving global optimization problems, which combines WOA’s contraction surrounding mechanism with SOA's spiral attack behavior to improve the calculation accuracy of SOA. WOA is tested with 29 mathematical optimization problems and 6 structural design problems. A reinforced whale optimization algorithm (RDWOA) [40] introduces random spare or Jan 1, 2021 路 Other well-known algorithms that belong to the group of swarm metaheuristics include the firefly algorithm (FA) [15], [16], the bat algorithm (BA) [17], [18], the whale optimization algorithm (WOA Oct 31, 2021 路 The improved whale optimization algorithm is proposed, which uses Skew Tent chaotic map to initialize the whale population, improve the diversity of the original whale population and make the individual position distribution of whales more uniform. (1) Foraging encirclement stage When a whale is close to the prey location, the whale group will immedi-ately work together to approach toward the target for rounding up. Foraging behavior of Humpback whales is called bubble-net feeding method. Keywords: Whale optimization algorithm, Tent chaotic map, Nonlinear convergence factor, Intelligent optimization algorithm, Global optimization 1. x tþ1 ¼ x Oct 1, 2020 路 Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic algorithm that is based on the bubble-net hunting maneuver technique—of humpback whales—for solving the 2. This paper proposes an improvement to the whale optimization algorithm that is based on a Sep 26, 2024 路 In response to these challenges, this paper proposes an Improved Whale Optimization Algorithm (IWOA) that considers the global perspective. end if 2 15. First, the high-quality initial population is generated to improve the performance of GWOA-TEO. In the proposed MLWOA, we used the memories mechanism and multi-leader method, which is helpful for search agents avoiding local optimum and more possible to achieve global optimum. Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic algorithm that is based on the bubble-net hunting maneuver technique-of humpback whales-for solving the complex optimization problems. Aug 28, 2021 路 A new improved whale optimization algorithm, called Chaos Regulation Whale optimization Algorithm (CRWOA), is proposed, which has faster convergence speed and better results than the other algorithms when less iteration number, less population quantity and wider ranges of variables are set. The precision in forming complex double-walled hollow turbine blades significantly influences their cooling efficiency, making the selection of appropriate casting process parameters critical for achieving fine-casting blade formation. Therefore, this paper Aug 15, 2022 路 The presented algorithm takes the speed advantage of Whale Optimization Algorithm (WOA) to propose a novel feature selection method for intelligent systems. The inspiration of this algorithm is first discussed in details, which is the bubble-net foraging behaviour of humpback whales in nature. During searching, the humpback whales exchange information about prey to each other. In this study, five new hybrid algorithms are proposed to develop these advantages. The optimization (Mirjalili and Lewis 2016a; Simhadri and Mohanty 2019; Yuan et al. One of such Feb 2, 2019 路 This chapter presents and analyzes the Whale Optimization Algorithm. It was proposed by Australian scholars Mir-jalili and Lewis in 2016, based on the special feeding behavior of humpback whales[22]. 2019). Whale optimization algorithm (WOA) is an emerging nature-inspired, swarm-intelligence based algorithm to solve optimization problems more efficiently. 2021; Krithiga Aug 4, 2021 路 An Optimal Routing Protocol Using Multi-Objective Whale Optimization Algorithm for Wireless Sensor Networks August 2021 International Journal of Electrical Engineering 10(2):77-86 Apr 7, 2021 路 In this paper, a competitive mechanism integrated whale optimization algorithm (CMWOA) is proposed to deal with multi-objective optimization problems. Introduction Deep learning is currently one of the most popular and rapidly developing May 1, 2016 路 This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback whales. In the whale optimization algorithm, the position of each humpback whale Oct 9, 2021 路 Request PDF | On Oct 9, 2021, Darui Li and others published Path Planning of Welding Robots Based on Developed Whale Optimization Algorithm | Find, read and cite all the research you need on Oct 1, 2022 路 The Whale Optimization Algorithm. Proposed by Mirjalili and Lewis (2016) in 2016, the WOA is inspired by the bubble net foraging mechanism of humpback whales. , 2017, Hussien et al. WOA's execution procedure, like that of other population-based algorithms, begins with the generation of a set of random solutions. This algorithm is not perfect enough. Compared with other metaheuristic algorithms, WOA shows better performance. 5) 16. Through the simulation experiments of 8 benchmark functions, from the perspective of mean square deviation and average value, the convergence speed and optimization accuracy of the improved whale optimization algorithm are significantly higher than those of the traditional whale optimization algorithm. In this paper, we innovatively enlarge the search range of WOA by performing a differential search Jan 29, 2021 路 Seagull optimization algorithm (SOA) inspired by the migration and attack behavior of seagullsin nature is used to solve the global optimization problem. Mar 1, 2021 路 These ten algorithms are as follows: Particle swarm Optimization (PSO) [24], Whale Optimization Algorithm (WOA) [25], Grey Wolf Optimizer (GWO), Tunicate Swarm Algorithm (TSA) [26], Butterfly Abstract. Today, optimization algorithms are vital as optimization problems often occur in com-merce, business, science, engineering, industry, and many other areas. Firstly, based on the dissolved gas analysis (DGA) in oil, with no coding ratio method is utilized to extract oil can express the state of the transformer in 9 dimensional vector, will be the vector normalization and USES kernel principal component analysis (KPCA Sep 13, 2021 路 In the context of cloud computing, one problem that is frequently encountered is task scheduling. However, the exploration problem in whale optimization algorithm still exists and remains to be researched as various parameters within the whale algorithm have been ignored. 2. Based on the analysis of whale optimization algorithm, we point out the disadvantages of whale optimization algo-rithm, and propose a modi铿乪d whale optimization algorithm algorithm from four aspects: choice regarding the dimension, exploration control, encircling prey modi铿乪d, and candidate solution May 28, 2021 路 This paper proposes a hybrid whale optimization algorithm (WOA) that is derived from the genetic and thermal exchange optimization-based whale optimization algorithm (GWOA-TEO) to enhance global optimization capability. The algorithm simulates the intelligence hunting behavior of humpback whales. WHALE OPTIMIZATION ALGORITHM Whale Optimization Algorithm (WOA) is a recently proposed randomly optimization algorithm by Mirjalili and Lewis in 2016 [15]. An estimation method based on a modified whale optimization algorithm in which May 1, 2021 路 Improved whale optimization algorithm and its application in heterogeneous wireless sensor networks May 2021 International Journal of Distributed Sensor Networks 17(5):155014772110181 Jan 1, 2023 路 One of the prospective methods of optimization by metaheuristic methods is the Whale Optimization Algorithm (WOA), which has been used recently. The Whale Optimization Algorithm (WOA) is a metaheuristic optimization algorithm inspired by the hunting behavior of humpback whales. Mar 1, 2021 路 Whale Optimization Algorithm (WOA) has demonstrated its merits in the optimization area. The researchers are trying to nd ecient optimization algorithms in many directions to nd a solution to such challenging issues. Oct 30, 2024 路 challenges, an enhanced whale optimization algorithm (EWOA) was proposed for task scheduling. The PSO implements some particles Sep 1, 2021 路 Whale optimization algorithm was developed based on the prey-catching characteristics of the humpback whales. WOA has advantages such as an exploration mechanism that leads towards the global optimum, a suitable balance between exploration and exploitation that avoids the local optimum, and a very good exploitation capability. The whale position updating process is shown below. 1007/s12652-021-03304-8 Corpus ID: 236420632; A hybrid whale optimization algorithm for global optimization @article{Chakraborty2021AHW, title={A hybrid whale optimization algorithm for global optimization}, author={Sanjoy Chakraborty and Apu Kumar Saha and Sushmita Sharma and Ratul Chakraborty and Sudhan Debnath}, journal={Journal of Ambient Intelligence and Humanized Computing}, year Sep 3, 2021 路 3. is algorithm has shown its ability to solve many Jul 1, 2020 路 Therefore, the whale optimization algorithm is widely used in engineering design problems (Hassan et al 2019;Islam et al. This algorithm is based on the Nature-inspired optimization (NIO) algorithm is said to be popular because of its usefulness in solving complex problems in different fields. This paper proposes a new and improved version of the whale algorithm entitled Modified Whale Optimization Algorithm Aug 11, 2021 路 This algorithm is not perfect enough. Whale Optimization Algorithm (WOA) is a recent swarm May 1, 2016 路 This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback whales. Jun 1, 2021 路 Request PDF | Hybrid filter-wrapper feature selection using Whale Optimization Algorithm: A Multi-Objective approach | Feature selection aims at finding the minimum number of features that result Nov 23, 2021 路 Request PDF | On Nov 23, 2021, Ezaz Uddin Syed and others published A Modified Whale Optimization Algorithm for Enhancing the Features Selection Process in Machine Learning | Find, read and cite the convergence speed and optimization accuracy of the improved whale optimization algorithm are significantly higher than those of the traditional whale optimization algorithm. , 2018). De spite the use of WOA in different fields of Apr 12, 2021 路 Inspiration of the algorithm: Whale optimization algorithm (WOA): A nature inspired meta-heuristic optimization algorithm which mimics the hunting behaviour of humpback whales. Thegoodpointset Dec 1, 2020 路 The whale optimization algorithm is based on the bubble-net attacking behavior of humpback whales and simulates encircling prey, bubble-net attacking and searching for prey to obtain the global Aug 1, 2021 路 In this section, a multi-level image thresholding segmentation based on a multi-leader whale optimization algorithm (MLWOA) is proposed as given in Fig. Whale optimization algorithm (WOA) has the advantages Nov 29, 2021 路 Th e whale optimization algorithm (WOA) i s on e of th e well-regarde d metaheuristic s that is widely used to solve different optimization problems. The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power system by considering the desired objective Feb 11, 2020 路 Whale optimization algorithm (WOA) has recently gained the attention of the research community as an efficient method to solve a variety of optimization problems. This algorithm drew inspiration from the hunting process in whales. Whale optimization algorithm (WOA) is inspired by the hunting tactic of the humpback whale. Introduction Apr 5, 2021 路 Whale optimization Algorithm (WOA) is a swarm intelligence optimization algorithm proposed by Seyedali Mirjalili and Andrew Lewis in 2016 (Alimoradi, 2021; Mirjalili & Lewis, 2016;Rana et al Oct 7, 2021 路 Request PDF | On Oct 7, 2021, Ling Ai Wong and others published Optimal Allocation of Battery Energy Storage System Using Whale Optimization Algorithm | Find, read and cite all the research you Dec 3, 2021 路 Request PDF | On Dec 3, 2021, Tao Zheng and others published Differential Whale Optimization Algorithm | Find, read and cite all the research you need on ResearchGate Jan 1, 2021 路 Simulation experiments show that it can effectively improve the performance of the algorithm; Reference [5] proposed a multistrategy whale optimization algorithm (MSWOA) that is significantly Aug 14, 2023 路 To address the issues of unstable, non-uniform and inefficient motion trajectories in traditional manipulator systems, this paper proposes an improved whale optimization algorithm for time-optimal trajectory planning. This algorithm purposes to determine the global optimum for the problem by using a population of search agents (whales). (2021) proposed an improved whale optimization algorithm based on two-operation collaboration, which incorporated different evolutionary strategies into different dimensions of the algorithm to improve the convergence accuracy and the ability of the algorithm to jump out of the local optimal solution. The model was transformed into a whale optimization problem, incorporating chaotic mapping to initialize populations and prevent premature convergence. 2021;Vamsi Krishna Reddy Aala Kalananda 2021;Yankai et al. Jan 1, 2024 路 The whale optimization algorithm (WOA) is a metaheuristic algorithm inspired by the hunting behavior of humpback whales. A se t of tests carried o ut on different famous b enchmarks. As an alternative to the existing methods, our main goal in this article is to study the applicability of WOA to solve resource allocation problems in wireless networks. The local exploitation phase is realized by shrinking or spiraling mechanism, and the global exploration is achieved by random search strategy. Aiming at the defect that the spiral update mechanism in WOA may exceed the Nov 30, 2021 路 Whale Optimization Algorithm (WOA) (Mirjalili & Lewis, 2016) is a recent evolutionary computation approach that has been widely applied in feature selection (Mafarja and Mirjalili, 2018, Sharawi et al. . 3. The whale optimization algorithm (WOA) is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. Dec 17, 2021 路 Request PDF | On Dec 17, 2021, Zijing Yuan and others published A Hybrid Whale Optimization and Particle Swarm Optimization Algorithm | Find, read and cite all the research you need on ResearchGate Feb 9, 2021 路 The whale optimization algorithm (WOA) was proposed by Mirjalili and Lewis in 2016. Apr 1, 2021 路 In general, the metaheuristic algorithms are divided into three classes consist of: (1) the improvement of the existing algorithms, such as Improved Whale Optimization Algorithm (IWOA) [3] [4][5 Jan 31, 2021 路 In view of the slow convergence speed, difficulty of escaping from the local optimum, and difficulty maintaining the stability associated with the basic whale optimization algorithm (WOA), an Jan 1, 2024 路 Whale optimization algorithm. 6 Whale optimization algorithm. However, when solving high dimensional optimization problems, WOA tends to fall into local optima and has slow convergence speed and low accuracy of solution. The hunting strategy of the humpback whale is separated into three parts: searching, encircling and bubble-net attacking [14, 33, 34]. WOA is Nov 1, 2021 路 An improved whale algorithm optimized support vector machine (SVM) for fault diagnosis of oil-immersed transformers is proposed. The group of whales dives down around 12 meter by producing bubbles in a circular path to encircle the prey at the time of hunting. To address the issue of initial solution diversity, an opposition-based learning method is introduced by constructing a reverse population, enhancing the diversity of the initial population. This algorithm is based on the bubble-net hunting strategy of the humpback whales. . In this study, a novel modified WOA (m-SDWOA) is presented where the conventional WOA is Sep 1, 2020 路 Population-based meta-heuristic algorithms are among the dominant algorithms used to solve challenging real world problems in diverse fields. By introducing the novel competitive mechanism, a better leader can be generated for guiding the update of whale population, which benefits the convergence of the algorithm. May 28, 2021 路 Notwithstanding the superior performance of the Whale optimization algorithm (WOA) on a wide range of optimization issues, the exploitation in WOA gets more preference during the search process, thereby compromising the solution accuracy and diversity and also increases the chance of premature convergence. In recent years, computer technology has shown a rapid development trend. The improved WOA solves the HWSNs coverage optimization model to obtain the optimal coverage plan and improve the network coverage. In order to better balance the exploration and exploitation of WOA, we propose a novel modified WOA (MWOA) in which both the mutation strategy based on Levy Jul 1, 2021 路 The whale optimization algorithm simulates the unique search method and surround hunting mechanism of humpback whales to find the optimal solution, which mainly contains three important stages: encircling prey, bubble-net attacking strategy and search for prey [49]. Citation 2017; Zhang, Wang, and May 25, 2021 路 A coverage optimization algorithm for HWSNs based on Sine–Cosine Algorithm Optimization Whale Algorithm (SCA-WOA) is proposed. Oct 1, 2021 路 The whale optimization algorithm is based on whale’s intelligence in hunting behavior named as bubble-net feeding technique. Symmetry 2021, 13, 48 4 of 13 13. 2018). Though WOA is an effective algorithm, it may suffer from a low exploration of the search space. A comparison among six well-known optimization algorithms is established to solve the OPF problem and proves that the proposed EWOA-OPF is able to solve single- and multi-objective OPF problems with better solutions than other comparative algorithms. The proposed algorithm adopts several improvements to enhance optimization performance Speed-Up Robust Feature (SURF) is one of the methods for extracting image features and matching. In this paper, we introduce the Whale Optimisation Algorithm (WOA) based Feb 1, 2022 路 Therefore, a novel evolutionary algorithm, called improved whale optimization algorithm (IWOA), is utilized in the current study to solve the time-jerk path op timization issue under nonlinear Jan 28, 2021 路 PDF | On Jan 28, 2021, Biswa Mohan Sahoo and others published A Whale Optimization (WOA): Meta-Heuristic based energy improvement Clustering in Wireless Sensor Networks | Find, read and cite all Feb 9, 2021 路 In view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm Dec 5, 2021 路 The whale optimization algorithm is a swarm-based meta-heuristic optimization algorithm. To overcome these drawbacks, an improved Whale Optimization Algorithm (IWOA) is proposed in this study. It is a new swarm intelligence optimization algorithm that simulates humpback whale hunting behavior. Aiming at the defect that the spiral update mechanism in WOA may exceed the search range Feb 8, 2021 路 Whale optimization has a good trade-off b etween intensifi cation and diversifi cation, which inherited by our proposal. It is clear from the mechanism that WOA uses a simple yet effective mechanism with a small number of control parameters [26] . Jan 7, 2022 路 The IMWOA, MVO, Ant Lion Optimizer (ALO), WOA, Grasshopper Optimization Algorithm (GOA), particle swarm optimization (PSO) and Seagull optimization algorithm (SOA) are tested and compared (Dhiman and Kumar Citation 2019; Mirjalili Citation 2015; Mirjalili, Mirjalili, and Hatamlou Citation 2016b; Shahrzad et al. One of the biggest challenge in the field of deep learning is the parameter selection and optimization process. A swarm-based intelligent algorithm called Whale Optimization Algorithm (WOA) is developed to solve continuous optimization problems [31]. 4 Whale Optimization Algorithm Based Feature Optimization WOA [47] is utilized for feature optimization to reduce red undancy and irrelevant features. Then, thermal exchange optimization (TEO) is applied to improve exploitation as optimization algorithms (Ma and Simon 2011; Hos-seinabadi et al. Sep 5, 2022 路 In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of beluga whales, called beluga whale optimization (BWO), is presented to solve optimization problem. else if 1 (p 0. However, compared with other EC techniques, very few number of feature selection approaches Mar 11, 2021 路 Similarly, a hybrid optimization algorithm based on the Nelder–Mead local search algorithm and whale optimization algorithm was proposed to accelerate global convergence speed of the whale algorithm , and the algorithm optimized the processing parameters in manufacturing processes. cgbiiw deizlv hysg ushlnk uxt hhu lqvi osknt lua vhxbw