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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Committee | NLP |
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Conference Date | 2013/10/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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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 |
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