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
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
別府 万寿博
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）