Evolutionary Algorithms Based on Cellular Automata for Function Optimization
Zhang Yong-zhi, BI Yi-ming · 2011
Parallel computation is an efficient way to solve the complex large-scale science and engineering problems. Cellular automata based evolutionary algorithms report some good results in the field of function optimization due to its intrinsic feature of parallel computing. This paper analyzed an evolutionary algorithm based on cellular automata for multimodal functions and discussed the operators and its roles in algorithms.