Research of Multi Population Differential Evolution Algorithm
The standard differential evolution is easy to fall into premature convergence; so for solving the problem, the paper presented a Multi Population Differential Evolution Algorithm (MPDE) which was based on simulating the developing history of human races. The population was divided into several subp...
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Published in | 2009 Fifth International Conference on Natural Computation Vol. 1; pp. 261 - 264 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2009
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Subjects | |
Online Access | Get full text |
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Summary: | The standard differential evolution is easy to fall into premature convergence; so for solving the problem, the paper presented a Multi Population Differential Evolution Algorithm (MPDE) which was based on simulating the developing history of human races. The population was divided into several subpopulations in MPDE, which can enhance the searching capacity of the algorithm. Finally, three experiments were done on benchmark functions, the results show that MPDE has a good global searching capacity than DE and could avoid premature convergence. |
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ISBN: | 0769537367 9780769537368 |
ISSN: | 2157-9555 |
DOI: | 10.1109/ICNC.2009.412 |