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• W2863470908 abstract "Swarm intelligence is one of the most promising area for the researchers in the field of numerical optimization. Monkey algorithm is a new swarm intelligent optimization algorithm. The algorithm can effectively solve the optimization problems of linear, nonlinear, nonconvex and complex high dimensional function. Currently, it has been widely studied and concerned by many researchers. In order to further improve the solution accuracy of algorithm, this paper proposes a kind of improved monkey algorithm. The basic idea of the proposed monkey algorithm is that an inducing factor is adopted in the climbing process of the basic monkey algorithm to induce it to crawl upward, which can escape from local optimal solution and find the global optimal solution. Finally, experimental results show that the algorithm significantly improves the search ability of monkey algorithm." @default.
• W2863470908 created "2018-07-19" @default.
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• W2863470908 date "2018-06-01" @default.
• W2863470908 modified "2023-09-27" @default.
• W2863470908 title "A Kind of Improved Monkey Algorithm" @default.
• W2863470908 doi "https://doi.org/10.1109/ccdc.2018.8407914" @default.
• W2863470908 hasPublicationYear "2018" @default.
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