Ant Colony Optimization with Dual Pheromone Table for Clustering

碩士 === 國立中山大學 === 資訊工程學系研究所 === 99 === This thesis presents a novel algorithm called ant colony optimization with dual pheromone tables (ACODPT) for improving the quality of ant colony optimization (ACO). The proposed algorithm works by adding a so-called “negative” pheromone table to ACO to avoid t...

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Bibliographic Details
Main Authors: Kai-Cheng Hu, 胡開程
Other Authors: Ming-Chao Chiang
Format: Others
Language:en_US
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/44732787136252862938