文章基本信息

标题：Multi-objective Monkey Algorithm for Drug Design
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作者：R. Vasundhara Devi ; S. Siva Sathya ; Nilabh Kumar 等
期刊名称：International Journal of Intelligent Systems and Applications
印刷版ISSN：2074-904X
电子版ISSN：2074-9058
出版年度：2019
卷号：11
期号：3
页码：31-41
DOI：10.5815/ijisa.2019.03.04
出版社：MECS Publisher
摘要：Swarm intelligence algorithms are designed to mimic the natural behaviors of living organisms. The birds, animals and insects exhibit extraordinary problem solving behaviors and intelligence when living in colonies or groups. These unique behaviors form the basis for the design of the Metaheuristic which are helpful in solving several real-life combinatorial optimization problems. Monkey algorithm is developed based on the unique behaviors of monkeys such as mountain and tree climbing, jumping, watching and somersaulting. This paper reports for the first time the design and development of Multi-objective Monkey Algorithm (MoMA) and its use for the design of molecules with optimal drug-like properties. Finally, the performance of the proposed MoMA for Drug design (MoMADrug) is compared with the previously disclosed Multi-objective Genetic algorithm (MoGADdrug) for the design of drug-like molecules.
关键词：Swarm intelligence algorithm;Monkey algorithm;De novo drug design;Single objective optimization;Multi-objective optimization