梁旭.现代智能优化混合算法及其应用[M].北京:电子工业出版社,2011. Liang Xu. Modern intelligent hybrid optimization algorithms and their applications[M]. Beijing: Publishing House of Electronics Industry, 2011. (in Chinese)
[2]
Goldberg D E. Genetic algorithms in search, optimization and machine learning[M]. Boston: Addison-Wesley Publisher, 1989.
[3]
Kirkpatrick S, Gelatt J C D, Vecchi M P. Optimization by simulated annealing[J]. Science, 1983,220(4598):671-680.
[4]
Dorigo M, Caro G D. The ant colony optimization meta-heuristic[M]. London: McGraw-Hill, 1999.
[5]
Kennedy J, Eberhart R C. Particle swarm optimization //Proceedings of IEEE International Conference on Neural Networks. Perth, Australia: IEEE, 1995:1942-1948.
[6]
Storn R, Price K. Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of Global Optimization, 1997,11(4):341-359.
[7]
李兵,蒋慰孙.混沌优化方法及其应用[J].控制理论与应用,1997,14(4):613-615. Li Bing, Jiang Weisun. Chaos optimization method and its applications[J]. Journal of Control Theory and Applications, 1997,14(4):613-615. (in Chinese)
[8]
王凌.智能优化算法及其应用[M].北京:清华大学出版社,2000. Wang Ling. Intelligent optimization algorithms and their applications[M]. Beijing: Tsinghua University Press, 2000. (in Chinese)
[9]
吴晓军,薛惠锋,李慜,等.GA-PSO混合规划算法[J].西北大学学报:自然科学版,2005,35(1):39-42. Wu Xiaojun, Xue Huifeng, Li Min, et al. A new programming of mixed genetic algorithm with particle swarm optimization[J]. Journal of Northwest University: Natural Science ed, 2005,35(1):39-42. (in Chinese)
[10]
Schmid T H, Thierauf G. A combined heuristic optimization technique[J]. Advances in Engineering Software, 2005,36(1):11-19.
[11]
Zhang Wenjun, Xie Xiaofeng. DEPSO: hybrid particle swarm with differential evolution operator //Proceedings of IEEE International Conference on Systems, Man and Cybernetics. Washington D.C.: IEEE, 2003:3816-3821.
[12]
Chiou J P, Chang C F, Su C T. Ant direction hybrid differential evolution for solving large capacitor placement problems[J]. IEEE Transanctions on Power Systems, 2004,19(4):1794-1800.
[13]
Ji Mingjun, Tang Huanwen. Application of chaos in simulated annealing[J]. Chaos, Solitons& Fractals, 2004,21(4):933-941.
[14]
袁晓辉,袁艳斌,王乘,等.-种新型的自适应混沌遗传算法[J].电子学报,2006,34(4):708-712. Yuan Xiaohui, Yuan Yanbin, Wang Cheng, et al. A novel self-adaptive chaotic genetic algorithm[J]. Acta Electronica Sinica, 2006,34(4):708-712. (in Chinese)
[15]
Kvasnicka V, Pospichal J. A hybrid simplex method and simulated annealing[J]. Chemometrics and Intelligent Laboratory System, 1997,37(22):161-173.
[16]
Ren Z W, San Y, Chen J F. Hybrid simplex-improved genetic algorithm for global numerical optimization[J]. Acta Automatica Sinica, 2007,33(1):91-96.
[17]
文丽,吴良大.高等数学[M].北京:北京大学出版社,1999. Wen Li, Wu Liangda. Advanced mathematics[M]. Beijing: Peking University Press, 1999. (in Chinese)
[18]
Rudolph G. Convergence analysis of canonical genetic algorithms[J]. IEEE Transactions on Neural Networks, 1994,5(1):96-101.
[19]
Koumousis V K, Katsaras C. A saw-tooth genetic algorithm combing the effects of variable population size and reinitialization to enhance performance[J]. IEEE Transactions on Evolutionary Computation, 2006,10(1):19-28.
[20]
Solis F, Wets R. Minimization by random search techniques[J]. Mathematics of Operations Research, 1981,6(1):19-30.
[21]
王丽芳,曾建潮.基于微粒群算法与模拟退火算法的协同进化方法[J].自动化学报,2006,32(4):630-634. Wang Lifang, Zeng Jianchao. A cooperative evolutionary algorithm based on particle swarm optimization and simulated annealing algorithm[J]. Acta Automatica Sinica, 2006,32(4):630-634. (in Chinese)
[22]
Lim A, Rodrigues B, Zhang X. A simulated annealing and hill-climbing algorithm for the traveling tournament problem[J]. European Journal of Operational Research, 2006,174(3):1459-1478.
[23]
Peng Y. A hybrid algorithm combing pattern search method and genetic algorithm for bound constrained optimization[J]. Mathematical Theory and Applications, 2005,25(4):1-4.
[24]
Xu X, Dony R D. Differential evolution with Powell\'s direction set method in medical image registration //Proceedings of IEEE International Symposium on Biomedical Imaging: Macro to Nano. Arlington, USA: IEEE, 2004:732-735.
[25]
Salhi S, Queen N M. A hybrid algorithm for identifying global and local minima when optimizing functions with many minima[J]. European Journal of Operational Research, 2004,155(1):51-67.
[26]
李敏强,寇纪松,林丹,等.遗传算法的基本理论与应用[M].北京:科学出版社,2002. Li Minqiang, Kou Jisong, Lin Dan, et al. Basic theories and applications of genetic algorithms[M]. Beijing: Science Press, 2002. (in Chinese)
