Hui Zhi1,2, Sanyang Liu1
Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 815-825, 2019, DOI:10.31209/2019.100000085
Abstract In this paper, we proposed a hybrid algorithm, which is embedding the genetic
operators in the global-best-guided artificial bee colony algorithms called GABCGA to solve the nonlinear design optimization problems. The genetic algorithm
has no memory function and good at find global optimization with large
probability, but the artificial bee colony algorithm not have selection, crossover
and mutation operator and most significant at local search. The hybrid
algorithm balances the exploration and exploitation ability further by combining
the advantages of both. The experimental results of five engineering
optimization and comparisons with existing approaches show that More >
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