An Improved Cuckoo Search Algorithm Utilizing Nonlinear Inertia Weight and Differential Evolution for Function Optimization Problem

This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and differential evolution algorithm (WCSDE) to overcome the shortcomings of the CS algorithm, such as low convergence accuracy, lack of information exchange within the population, and inadequate local s...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.161352-161373
Hauptverfasser:	Zhang, Cheng-Xu, Zhou, Kai-Qing, Ye, Shao-Qiang, Zain, Azlan Mohd
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive adjustment strategy Algorithms Benchmark testing Convergence Cuckoo search algorithm differential evolution algorithm Evolutionary algorithms Evolutionary computation function optimization Heuristic algorithms Inertia Local optimization Mutation nonlinear inertia weight Optimization Search algorithms Sociology Statistical analysis Statistics
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