An superior tracking artificial bee colony for global optimization problems
作者： Xianghua Chu , Guozheng Hu , Ben Niu , Li Li , Zhengrong Chu
关键词: Meta-optimization 、 Artificial bee colony algorithm 、 Particle swarm optimization 、 Mathematical optimization 、 Multi-swarm optimization 、 Population 、 Metaheuristic 、 Benchmark (computing) 、 Convergence (routing)
摘要: In order to improve the performance of original artificial bee colony (ABC) algorithm for global optimization problems in terms solution accuracy and convergence speed, a superior tracking (STABC) is presented this paper. STABC, updating mechanism bees transformed from one-dimension-wise all-dimension-wise. addition, strategy enables always track individuals population. Experimental comparisons are conducted on twelve benchmark functions with various properties. Compared involved algorithms, experiment results demonstrate remarkable improvement proposed problems.
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