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Sexual Reproduction Adaptive Genetic Algorithm Based on Baldwin Effect and Simulation Study

ZHANG Ming-ming1,ZHAO Shu-guang2,WANG Xu2 (1.Shanghai Baosight Software Co.,Ltd.,Shanghai 201203,China;2.College of Information Science and Technology,Donghua University,Shanghai 201620,China)  
Aimed to overcome the problems of traditional Genetic Algorithms,such as poor capabilities in local search,premature convergence,and stochastic roaming,a sexual reproduction adaptive Genetic Algorithm based on Baldwin effect was presented.The proposed algorithm simulated sexual reproduction and enables the transmission of fitness information from parent individuals to the offspring.Based on competition,cooperation,and innate difference between two sexual subgroups,the proposed algorithm adaptively adjusted sexual genetic operators.Meanwhile,inspired by the acquired reinforcement learning theory based on Baldwin effect,the proposed algorithm guided individuals to forward or reverse learning to adapt individuals' acquired fitness.Compared with Standard Genetic Algorithm (SGA) and Adaptive Genetic Algorithm (AGA) by numerical simulations,the proposed algorithm is proved more effective and advantageous.
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