Presentation 2013-10-29
Solving Shortest Path Problems of Complex Networks Using Adaptable Independent-minded Particle Swarm Optimization
Yoko ISHII, Haruna MATSUSHITA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The Shortest Path Problem (SPP) is one of the most fundamental problems in graph theory. The purpose of this study is to investigate on the applicability of Adaptable Independent-minded Particle Swarm Optimization (AIPSO) for SPP.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Shortest Path Problem / Particle Swarm Optimization (PSO)
Paper # NLP2013-109
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Conference Information
Committee NLP
Conference Date 2013/10/21(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) Solving Shortest Path Problems of Complex Networks Using Adaptable Independent-minded Particle Swarm Optimization
Sub Title (in English)
Keyword(1) Shortest Path Problem
Keyword(2) Particle Swarm Optimization (PSO)
1st Author's Name Yoko ISHII
1st Author's Affiliation Dept. of Reliability-based Information Systems Engineering, Kagawa University()
2nd Author's Name Haruna MATSUSHITA
2nd Author's Affiliation Dept. of Reliability-based Information Systems Engineering, Kagawa University
Date 2013-10-29
Paper # NLP2013-109
Volume (vol) vol.113
Number (no) 271
Page pp.pp.-
#Pages 4
Date of Issue