[1]张旭升[1],戴青云[1].一种基于改进蚁群算法的混合型调度算法[J].中国制造业信息化:学术版,2010(7):8-13.
[2]Deb K. Multi--objective Optimization Using Evolu tionary Algorithms[M]. New York: John Wiley &Sons, 2001.
[3]贾兆红[1,2],陈华平[1],唐俊[2],卢冰原[3].面向多目标的自适应动态概率粒子群优化算法[J].系统仿真学报:4959-4963.
[4]Kennedy J, Eberhart R. Particle Swarm Optimiza tion[C]//IEEE Int. Conf. on Neural Networks Piscataway, 1995 : 1942-1948.
[5]李丽,牛奔著.粒子群优化算法[M].北京:冶金工业出版社,2009:154.
[6]周辉仁[1],唐万生[1],魏颖辉[2].基于微粒群算法的柔性流水车间调度优化[J].中国机械工程,2010(9):1053-1057.
[7]鲁建厦[1],蒋玲玲[1],李修琳[1].基于混合粒子群算法求解装配线第二类平衡问题[J].中国机械工程,2010(4):420-424.
[8]武广州.混合型生产方式车间调度建模及应用 [D].武汉理工大学,2007:
[9]公茂果[1,2],焦李成[1,2],杨咚咚[1,2],马文萍[1,2].进化多目标优化算法研究[J].软件学报:271-289. 21
[10]Laumanns M, Thiele L, Deb K, et al. Combining Convergence and Diversity in Evolutionary Multi-- objective Optimization[J]. Evolutionary Computa- tion, 2002, 10(3): 263-282.
[11]陈民铀[1,2],张聪誉[1,2],罗辞勇[1,2].自适应进化多目标粒子群优化算法[J].控制与决策:1851-1855.
[12]李中凯[1],谭建荣[1],冯毅雄[1],方辉[1].基于拥挤距离排序的多目标粒子群优化算法及其应用[J].计算机集成制造系统,2008,14(7):1329-1336.
[13]Tan K C, Lee T H, Khor E F. Evolutionary Al- gorithms with Dynamic Population Size and Local Exploration for Multi--objective Optimization[J]. IEEE Trans. on Evolutionary computation, 2001, 5(6) : 565-588.
[14]蒋程涛[1],邵世煌[1].基于适配粒子群的多目标优化方法[J].计算机工程,2007,33(21):175-178.
[15]Zitzler E, Thiele L. Multiobjective Evolutionary Algorithm: a Comparative Case Study and the Strength Pareto Approach[J]. IEEE Transactions on Evolutionary Compution, 1999,3(4) :252-271.
[16]陈绍新.多目标优化的粒子群算法及其应用研究 [D].大连理工大学,2007:
[17]Benabid R, Boudour M, Abido M. Optimal Loca- tion and Setting of SVC and TCSC Devices Using Non dominated Sorting Particle Swarm Optimi- zation[J]. Electric Power Systems Research, 2009,12(79) :1668-1677.
[18]王凌.车间调度及其遗传算法[M],2003. |