Presentation	2014-05-27 Search of Multiple Solutions and the Number of Solutions by the Particle Swarm Optimizer Takuya TAKEMURA, Takumi SATO, Toshimichi SAITO,
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Abstract(in English)	This paper studies a particle swarm optimizer for multi-solution problems in the case where the number of solutions is unknown. The problem is described by a fitness function of the multi-solution problems. The algorithm uses the ring topology and includes no stochastic parameter. In order to count the number of solutions automatically, the algorithm employs a heuristic identification subroutine. Also, the algorithm includes an insensitive parameter that can be effective to avoid trapping into partial/local solutions. Performing numerical experiments for a basic problem, the algorithm efficiency is investigated.
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Keyword(in English)	particle swarm optimizers / multi-solution problems
Paper #	NLP2014-10
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Conference Information
Committee	NLP
Conference Date	2014/5/19(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)	Search of Multiple Solutions and the Number of Solutions by the Particle Swarm Optimizer
Sub Title (in English)
Keyword(1)	particle swarm optimizers
Keyword(2)	multi-solution problems
1st Author's Name	Takuya TAKEMURA
1st Author's Affiliation	EE Dept., Hosei University()
2nd Author's Name	Takumi SATO
2nd Author's Affiliation	EE Dept., Hosei University
3rd Author's Name	Toshimichi SAITO
3rd Author's Affiliation	EE Dept., Hosei University
Date	2014-05-27
Paper #	NLP2014-10
Volume (vol)	vol.114
Number (no)	55
Page	pp.pp.-
#Pages	4
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