Title :
Evolutionary Algorithms Based on Cellular Automata for Function Optimization
Author :
Yong-zhi, Zhang ; Yi-ming, Bi
Author_Institution :
Dept. of Math & Mil. Oper. Res., Xi´´an Res. Inst, Xi´´an, China
Abstract :
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.
Keywords :
cellular automata; evolutionary computation; cellular automata; complex large-scale engineering problems; complex large-scale science problems; evolutionary algorithms; function optimization; multimodal functions; parallel computation; Automata; Computational modeling; Evolutionary computation; Lattices; Learning automata; Optimization; Programming; cellular automata; evolutionary algorithm; function optimization; parallel computation;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.76
