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A Niche Cellular Genetic Algorithm Based on Evolution Rule

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Abstract:

Since the individuals’ reproduction and existing probability can be greatly improved by introducing evolution rule into cellular automata algorithm, this paper presents a new niche cellular genetic algorithm by involving cellular automata evolution rule and introducing niche technique. The results of simulation experiments on some well-known complex benchmarking problems reveal that this algorithm outperforms the basic cellular genetic algorithms (cGAs) and cGAs with evolution rule in terms of diversity, convergence, global optimization and stability.

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Periodical:

Advanced Materials Research (Volumes 482-484)

Pages:

2450-2453

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.482-484.2450

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Online since:

February 2012

Authors:

Da Lin Zhu, Teng Zhan, Rui Tang, Hui Fang Li

Keywords:

Cellular Automata (CA), Cellular Genetic Algorithms, Evolution Rule, Niche Technique

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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