The main idea of ESSAWOA is to enhance Whale Optimization Algorithm (WOA) by combining the mechanism of Salp Swarm Algorithm (SSA) and Lens Opposition-based Learning strategy (LOBL). The hybridization process includes three parts: First, the leader mechanism with strong exploitation of SSA is ...
First of all, twenty-three benchmark functions tested the enhanced whale optimization algorithm (EWOA). Then the statistical results of EWOA compared with the results of other algorithms (WOA, salp swarm algorithm (SSA), enhanced SSA (ESSA), grey wolf optimizer (GWO), augmented GWO (AGWO),...
Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in various engineering fields. However, WOA suffers from the poor balance of exploration and exploitation, and premature convergence. In this paper, a new ...
Notable examples include grey wolf optimization (GWO)51, whale optimization algorithm (WOA)52, satin bowerbird optimizer (SBO)53, emperor penguin optimizer (EPO)54, squirrel search algorithm (SSA) 55, harris hawks optimization (HHO)56, red deer algorithm (RDA)57, tuna swarm optimization (TSO)...
Support vector machineA hybrid novel meta-heuristic optimization algorithm termed Whale Optimization Algorithm (WOA) and Support Vector Machines (SVMs) to obtain an Electroencephalogram (EEG) classification approach was proposed here in this paper for automatic seizure detection termed WOA-SVM. In the ...
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For instance, ant colony optimization35, firefly algorithm36,37, flower pollination algorithm38, grey wolf optimizer (GWO)39,40,41,42, Jaya algorithm43, Teaching–learning based optimization (TLBO) algorithm44, Rao algorithm45, political optimizer 46, whale optimization algorithm (WOA)47, Moth ...
Hybrid whale optimization algorithm with simulated annealing for feature selection. Neu- rocomputing, 2017, 260: 302 – 312. [3] BHANDARI A K, SINGH V K, KUMAR A, et al. Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding...
In the past decade, swarm-based metaheuristic algorithms have seen rapid development, with new algorithms continually emerging. Notable examples include grey wolf optimization (GWO)51, whale optimization algorithm (WOA)52, satin bowerbird optimizer (SBO)53, emperor penguin optimizer (EPO)54, squirrel ...
Aiming at the problems such as slow search speed, low optimization accuracy, and premature convergence of standard seagull optimization algorithm, an enhan