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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Abstract | 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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AbstractList | 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. |
Author | Wang Zhankui Pang Minghua Du Jiaxi Chen Xiqu |
Author_xml | – sequence: 1 surname: Chen Xiqu fullname: Chen Xiqu organization: Dept. of Mech. & Electr. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China – sequence: 2 surname: Wang Zhankui fullname: Wang Zhankui organization: Dept. of Mech. & Electr. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China – sequence: 3 surname: Du Jiaxi fullname: Du Jiaxi organization: Dept. of Mech. & Electr. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China – sequence: 4 surname: Pang Minghua fullname: Pang Minghua organization: Dept. of Mech. & Electr. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China |
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Snippet | The standard differential evolution is easy to fall into premature convergence; so for solving the problem, the paper presented a Multi Population Differential... |
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SubjectTerms | Communication system control Convergence Differential evolution algorithm History Humans Multi population Optimization Optimization methods Paper technology Probability distribution Random number generation Stability Standards development |
Title | Research of Multi Population Differential Evolution Algorithm |
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