Title :
A chaos algorithm based on progressive optimality and tabu search algorithm
Author :
Yang, Jun-Jie ; Zhou, Jiang-Zhong ; Wu, Wei ; Liu, Fang ; Zhu, Cheng-Jun ; Cao, Guang-Jing
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Based on the analysis of the properties of progressive optimality algorithm (POA), tabu search (TS) and mutative scale chaos optimization algorithm (MSCOA), a chaos optimization algorithm is presented. The algorithm has not only the implicit parallelism and global convergence of POA, but also the intelligence of tabu search and the fast convergence of MSCOA. The simulation results show that the algorithm, with characters of simple, optimization efficiency and strong robustness etc., is an effective technique to solve larger-scale nonlinear programming problems.
Keywords :
chaos; optimisation; search problems; mutative scale chaos optimization algorithm; nonlinear programming; progressive optimality algorithm; tabu search algorithm; Algorithm design and analysis; Chaos; Convergence; Electronic mail; Iterative algorithms; Nonlinear dynamical systems; Nonlinear systems; Parallel processing; Robustness; Stochastic processes; chaos; optimization; progressive optimality algorithm; tabu search;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527452
