Tsai C F, Tsai C W, Tseng C C. A New Hybrid Heuristic Approach for Solving Large Traveling Salesman Problem. Information Sciences, 2004, 166(1/2/3/4): 6781
[2]
Chu S C, Roddick J F, Pan J S. Ant Colony System with Communication Strategies. Information Sciences, 2004, 167(1/2/3/4): 6376
[3]
Favuzza S, Graditi G, Sanseverino E R. Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy. Applied Intelligence, 2006, 24(1): 3142
[4]
Wu Qinghong, Zhang Jihui, Xu Xinhe. An Ant Colony Algorithm with Mutation Features. Journal of Computer Research and Development, 1999, 36(10): 12401245 (in Chinese) (吴庆洪,张纪会,徐心和.具有变异特征的蚁群算法.计算机研究与发展, 1999, 36(10): 12401245)
[5]
Chen Ling, Shen Jie, Qin Ling, et al. An Adaptive Ant Colony Algorithm Based on Equilibrium of Distribution. Journal of Software, 2003, 14(8): 13791387 (in Chinese) (陈 崚,沈 洁,秦 玲,等.基于分布均匀度的自适应蚁群算法.软件学报, 2003, 14(8): 13791387)
[6]
Stützle T. Parallelization Strategies for Ant Colony Optimization // Eiben A E, Back T, Schoenauer M, et al, eds. Lecture Notes in Computer Science. Berlin, Germany: SpringerVerlag, 1998, 1498: 722741
[7]
Foster I. Designing and Building Parallel Programs. Reading, USA: AddisonWeslley, 1994
[8]
Matsumura T, Nakamura M, Okech J, et al. A Parallel and Distributed Genetic Algorithm on LooselyCoupled Multiprocessor System. IEICE Trans on Fundamentals of Electronics, Communications and Computer Sciences, 1998, 81(4): 540546
[9]
Yu Bin, Cheng Chuntian, Yang Zhongzhen, et al. CoarseGrain Parallel Ant Colony Optimization Algorithm. Systems Engineering and Electronics, 2006, 28(4): 626629 (in Chinese) (于 滨,程春田,杨忠振,等.一种改进的粗粒度并行蚁群算法.系统工程与电子技术, 2006, 28(4): 626629)
[10]
Dorigo M, Maniezzo V, Colorni A. The Ant System: Optimization by a Colony of Cooperating Agents. IEEE Trans on Systems, Man and Cybernetics, 1996, 26(1): 2941
[11]
Kang Lishan, Xie Yun, You Shiyong, et al. NonNumerical Parallel Algorithm-the Simulated Annealing Algorithm. Beijing, China: Science Press, 2000: 149153 (in Chinese) (康立山,谢 云,尤矢勇,等.非数值并行算法——模拟退火算法.北京:科学出版社, 2000: 149153)
[12]
Stützle T, Hoos H. MAXMIN Ant System and Local Search for Combinatorial Optimization Problems // Vos S S, Osman M I H, Roucairol C, eds. MetaHeuristics: Advances and Trends in Local Search Paradigms for Optimization. Boston, USA: Kluwer Academic, 1999: 313329
