基于元胞自动机的函数优化进化算法

2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control Pub Date : 2011-10-21 DOI:10.1109/IMCCC.2011.76

Zhang Yong-zhi, Bi Yi-ming

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引用次数: 0

摘要

并行计算是解决复杂的大规模科学与工程问题的有效途径。基于元胞自动机的进化算法由于其内在的并行计算特性，在函数优化领域取得了良好的效果。分析了一种基于元胞自动机的多模态函数进化算法，讨论了算子及其在算法中的作用。

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Evolutionary Algorithms Based on Cellular Automata for Function Optimization

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.

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来源期刊

2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control

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