A novel multi-population cultural algorithm adopting knowledge migration |
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Authors: | Yi-nan Guo Jian Cheng Yuan-yuan Cao Yong Lin |
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Affiliation: | (1) College of Information and Electronic Engineering, China University of Mining and Technology, Xuzhou, 221008, Jiangsu, China |
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Abstract: | In existing multi-population cultural algorithms, information is exchanged among sub-populations by individuals. However,
migrated individuals cannot reflect enough evolutionary information, which limits the evolution performance. In order to enhance
the migration efficiency, a novel multi-population cultural algorithm adopting knowledge migration is proposed. Implicit knowledge
extracted from the evolution process of each sub-population directly reflects the information about dominant search space.
By migrating knowledge among sub-populations at the constant intervals, the algorithm realizes more effective interaction
with less communication cost. Taken benchmark functions with high-dimension as the examples, simulation results indicate that
the algorithm can effectively improve the speed of convergence and overcome premature convergence. |
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Keywords: | |
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