1. 增强寻优能力的自适应人工蜂群算法.
- Author
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张 泰, 屠思远, 吴 滨, and 顾晓峰
- Abstract
In order to overcome the drawbacks of low computational accuracy and slow convergence rate of conventional artificial bee colony (ABC) algorithm during solving the function optimization problems, this paper proposed a self-adaptive ABC algorithm with enhanced search ability. The modified algorithm used the logic self-mapping function to generate chaotic sequences so as to implement chaos optimization for the search behaviors of employed bees, and it adopted adaptive step strategy of firefly algorithm to dynamically adjust the search behaviors of observer bees, the approach improved the local search ability. Simulations based on standard testing functions indicate that the modified ABC algorithm exhibits obviously improved optimization accuracy and convergence rate. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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