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Some features of the site may not work correctly.IWOA: An improved whale optimization algorithm for optimization problemsA Novel Memetic Whale Optimization Algorithm for OptimizationNew binary whale optimization algorithm for discrete optimization problemsDiscover more papers related to the topics discussed in this paperSHOWING 1-10 OF 1,606 CITATIONS, ESTIMATED 91% COVERAGEThe Whale Optimization Algorithm inspired by humpback whales is proposed.Abdelazim G. Hussien, Aboul Ella Hassanien, … Ahmad Taher AzarIWOA: An improved whale optimization algorithm for optimization problemsA Novel Memetic Whale Optimization Algorithm for OptimizationNew binary whale optimization algorithm for discrete optimization problemsPerformance Analysis of Whale Optimization AlgorithmNovel Adaptive Whale Optimization Algorithm for Global OptimizationOn Some Improved Versions of Whale Optimization AlgorithmWhale Optimization Algorithm Based on Lamarckian Learning for Global Optimization ProblemsA modified whale optimization algorithm for large-scale global optimization problemsAn efficient double adaptive random spare reinforced whale optimization algorithmGroup Search Optimizer: An Optimization Algorithm Inspired by Animal Searching BehaviorKrill herd: A new bio-inspired optimization algorithmA novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting searchLeague Championship Algorithm: A New Algorithm for Numerical Function OptimizationAlgorithm of Marriage in Honey Bees Optimization Based on the Wolf Pack SearchSoccer league competition algorithm: A novel meta-heuristic algorithm for optimal design of water distribution networksSizing design of truss structures using particle swarmsA new metaheuristic algorithm for continuous engineering optimization : harmony search theory and practiceBy clicking accept or continuing to use the site, you agree to the terms outlined in our
The Whale Optimization Algorithm inspired by humpback whales is proposed.The WOA algorithm is benchmarked on 29 well-known test functions.The results on the unimodal functions show the superior exploitation of WOA.The exploration ability of WOA is confirmed by the results on multimodal functions.The results on structural design problems confirm the performance of WOA in practice. The experimental results show promising performance for the proposed diag-nosing and prediction modules, using a dataset with hundreds of real data and CT im-ages.The rest of the paper is organized as follows: Section 2 shows the recent COVID- ��wD�����,�\S��Ȓ�"��'�*r�`�ETN83b#SyE�N���:_?y�y�i1���Q������x_�k4���,r�v*�
PDF | This paper proposes an enhanced whale optimization algorithm with the simplex method named SMWOA algorithm.
Population-based WOA has an ability to avoid local optima and get a global optimal solution. constriction factor to avoid premature convergence in traditional particle swarm optimization. WOA is a simple, robust and swarm based stochastic optimization algorithm. Whale optimization algorithm (WOA) is a recently proposed meta-heuristic algorithm which imitates the hunting behavior of humpback whales. This algorithm includes three operators to simulate the search for prey, encircling prey, and bubble-net foraging behavior of humpback whales. x��?
Whale Optimization Algorithm (WOA) known as Non-Dominated Sorting Whale Optimization Algorithm (NSWOA). The algorithm simulates the intelligence hunting behavior of humpback whales. Algoritma WOA (Whale Optimization Algorithm) adalah salah satu algoritma optimasi yang dapat digunakan untuk pengambilan keputusan. The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. This is the source codes of the paper:
A Hybrid Whale Optimization Algorithm with Adaptive Spiral for Terrorism Prediction (The Case of Egypt) 166 1.
The WOA is evaluated on IEEE 15, 33, 69 and 85-bus test systems. This proposed NSWOA algorithm works in such a manner that it first collects all non-dominated Pareto optimal solutionsin achieve till the evolution of last iteration limit. Whale optimization algorithm Whale optimization algorithm was proposed by Jalili and Lewis for optimizing numerical problems (Mirjalili & Lewi, 2016).
The paper discusses the Whale Optimization Algorithm (WOA), and its applications in different fields. These advantages cause WOA to be an appropriate algorithm … The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. In mathematical terms, an optimization problem is the problem of finding the best solution from among the set of all feasible solutions.
Links to highly relevant papers for key concepts in this paper:You are currently offline. WOA was compared with different types of DGs and other evolutionary algorithms.
Whale optimization algorithm is a new meta-heuristic optimization algorithm that simulates the intelligence bubble-net hunting behavior of humpback whales. Whale optimization algorithm (WOA), a novel metaheuristic algorithm, is used to determine the optimal DG size. �����S��{����������{�G�R�J+�|���b60�=��Gfz�ٕevn��5R�m��T>�*�/�����1I�:��1U� Some features of the site may not work correctly.Optimization is an important tool in making decisions and in analysing physical systems.I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problemsFlow Regime Algorithm (FRA): a physics-based meta-heuristics algorithmA Modified Cloud Particles Differential Evolution Algorithm for Real-Parameter OptimizationOptimal Sizing of an Islanded Micro-Grid Using Meta-Heuristic Optimization Algorithms Considering Demand-Side ManagementOptimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithmSpherical search optimizer: a simple yet efficient meta-heuristic approachIncremental gravitational search algorithm for high-dimensional benchmark functionsFixed Head Short-term Hydrothermal Scheduling Using Whale Optimization Algorithm Considering the Uncertainty of Solar PowerA survey of dynamic parameter setting methods for nature-inspired swarm intelligence algorithmsOptimizing connection weights in neural networks using the whale optimization algorithmA multi-objective optimal mobile robot path planning based on whale optimization algorithmAn emission constraint environment dispatch problem solution with microgrid using Whale Optimization AlgorithmWhale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentationOptimal siting of capacitors in radial distribution network using Whale Optimization AlgorithmA Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization AlgorithmClever Algorithms: Nature-Inspired Programming RecipesLiver segmentation in MRI images based on whale optimization algorithmBy clicking accept or continuing to use the site, you agree to the terms outlined in our
The Whale Optimization Algorithm inspired by humpback whales is proposed.The WOA algorithm is benchmarked on 29 well-known test functions.The results on the unimodal functions show the superior exploitation of WOA.The exploration ability of WOA is confirmed by the results on multimodal functions.The results on structural design problems confirm the performance of WOA in practice.
WOA is modeled based on the unique hunting behavior of humpback whales. "(�I�
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