Contents Menu

Empirical Study of Discrete Particle Swarm Optimization for the knapsack problem

Proceedings of The Symposium on Design Engineering Volume 9 Page 169-174
published_at 2005-12
2009020006.pdf
[fulltext] 347 KB
Title
ナップサック問題におけるDiscrete PSOのパラメータの検討
Empirical Study of Discrete Particle Swarm Optimization for the knapsack problem
Creators 江本 久雄
Creators Nakamura Hideaki
Creators 別府 万寿博
Creators Kawamura Kei
Creators Miyamoto Ayaho
Creator Keywords
Discrete Particle Swarm Optimization Knapsack Problem Parameter selection
Particle swarm optimization (PSO) is a novel multi agent optimization system inspired by social behavior of bird flocking or fish schooling. In PSO, instead of using more traditional genetic operators, each particle (individual) adjusts its "flying" accor
Languages jpn
Resource Type conference paper
Publishers 土木学会
Date Issued 2005-12
File Version Version of Record
Access Rights open access
Schools 大学院理工学研究科(工学)