Improved Chimpanzee Search Algorithm with Multi-Strategy Fusion and Its Application

• Published in: Machines (Basel) Vol. 11; no. 2; p. 250
• Main Authors: Wu, Hongda, Zhang, Fuxing, Gao, Teng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Acceleration; Accuracy; Agglomeration; Algorithms; Chimpanzees; Convergence; Design optimization; Heuristic; improved sine chaos mapping; Mapping; Mathematical models; Mathematical optimization; Monkeys & apes; Mutation; nonlinear decay factor; Optimization algorithms; Random variables; Search algorithms; sparrow elite mutation; Statistical tests; Water waves

An improved chimpanzee optimization algorithm incorporating multiple strategies (IMSChoA) is proposed to address the problems of initialized population boundary aggregation distribution, slow convergence speed, low precision, and proneness to fall into local optimality of the chimpanzee search algor...