Title :
Improved ACO inspired by logistics and distribution problem
Author :
Yancang, Li ; Fangmeng, Cheng ; Suo Juanjuan
Author_Institution :
Coll. of Civil Eng., Hebei Univ. of Eng., Handan, China
Abstract :
In order to overcome the convergence deficiency of the basic ACO, an improved ACO based on the direction of the logistics and distribution problem was proposed. The logistics optimization method was used to optimize the path finding in the ACO. The simulation results show that the method of optimization of logistics and distribution path is practical and effective. This study provides a new powerful tool for optimization problems.
Keywords :
convergence; logistics; optimisation; ant Colony Optimization Algorithm; convergence deficiency; distribution path; improved ACO; logistics optimization method; path finding; Ant colony optimization; Civil engineering; Convergence; Educational institutions; Job shop scheduling; Logistics; Optimization methods; Particle swarm optimization; Routing; Vehicles; ACO; improvement; logistics and distribution problem; premature;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487086
