Presentation 2011-03-10
Insensitive Differential Evolution for Multi-solution Problems
Itsuki HANDA, Toshimichi SAITO,
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Abstract(in English) Differential evolution with insentive particle is considered in this paper. Making particle movement insensitive then they renew particles imformation. And particle searched differ from optimal solution is difficult to share information of each other. Hereby they can help search plural optimal solution because they are difficult to convergence one optimal solution. Performing numerical experiments for benchmarks, the algorithm basis efficiency is evaluated in several key indicators such as typical search example, succes rate, the number of interation.
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Keyword(in English) DE / Differntial evolution / Optimization
Paper # NLP2010-167
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Committee NLP
Conference Date 2011/3/3(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Insensitive Differential Evolution for Multi-solution Problems
Sub Title (in English)
Keyword(1) DE
Keyword(2) Differntial evolution
Keyword(3) Optimization
1st Author's Name Itsuki HANDA
1st Author's Affiliation EE Dept., Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation EE Dept., Hosei University
Date 2011-03-10
Paper # NLP2010-167
Volume (vol) vol.110
Number (no) 465
Page pp.pp.-
#Pages 5
Date of Issue