Title :
Gravitational chaotic search algorithm for partners selection with due date constraint in virtual enterprise
Author :
Xiao, Jianhua ; Qi, Fan ; Li, Yongkai
Author_Institution :
Res. Center of Logistics, Nankai Univ., Tianjin, China
Abstract :
Partner selection with due date constraint has been proved to be NP-complete problem, and it is difficult to solve by the traditional optimization methods. In the paper, a novel gravitational chaotic search algorithm (GCSA) is proposed, and is firstly used to solve the partner selection optimization problem. By combining the gravitational search algorithm with the chaotic local search, the hybrid algorithm can not only avoid the disadvantage of easily getting to the local optional solution in the later evolution period, but also keep the rapid convergence performance. The simulation results show that the algorithm is efficient.
Keywords :
chaos; computational complexity; convergence; optimisation; search problems; virtual enterprises; NP-complete problem; chaotic local search; due date constraint; gravitational chaotic search algorithm; hybrid algorithm; partner selection optimization problem; rapid convergence performance; virtual enterprise; Chaos; Genetic algorithms; Heuristic algorithms; Optimization; Particle swarm optimization; Search problems; Virtual enterprises;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6159990