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A novel chaotic artificial bee colony algorithm based on Tent map
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
A novel self-adaptive chaotic artificial bee colony algorithm based on Tent map (STOC-ABC) is proposed to enhance the global convergence and the population diversity. In the STOC-ABC, Tent chaotic opposition-based learning initialization method is presented to diversify the initial individuals and obtain good initial solutions. Furthermore, the self-adaptive Tent chaotic searching is implemented at the zones nearby individual optimum solution to help the artificial bee colony (ABC) algorithm to
doi:10.1109/cec.2014.6900278
dblp:conf/cec/KuangJXKZ14
fatcat:scjb6be4frgcjan7eg6ncgdrmu