[1] DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197. [2] BLEULER S,BRACK M,THIELE L,et al.Multiobjective genetic programming:Reducing bloat using SPEA2[A].Proceedings of the 2001 Congress on Evolutionary Computation[C].Seoul:IEEE,2011.536-543. [3] COELLO C A C,PULIDO G T,LECHUGA M S.Handing multiple objectives with particle swarm optimization[J].IEEE Transactions on Evolutionary Computation,2004,8(3):256-279. [4] DURILLO J J,NEBRO A J,LUNA F,et al.Solving three-objective optimization problems using a new hybrid cellular genetic algorithm[A].Parallel Problem Solving from Nature-PPSN X[C].Berlin Heidelberg:Springer,2008.661-670. [5] 张屹,郑小东,万兴余,等.基于差分元胞多目标遗传算法的动压滑动轴承优化设计[J].机械传动,2014,038(9):64-68. ZHANG Yi,ZHENG Xiao-dong,WAN Xing-yu,et al.Optimization design of hydrodynamic sliding bearing based on differential cellular genetic algorithm[J].Journal of Mechanical Transmission,2014,038(9):64-68. [6] 王亚良,倪晨迪,曹海涛,等.两阶段动态差分智能元胞机算法[J].计算机集成制造系统,2020,26(4):989-1000. WANG Ya-liang,NI Chen-di,CAO Hai-tao,et al.Two-stage dynamic differential agent cellular automata algorithm[J].Computer Integrated Manufacturing Systems,2020,26(4):989-1000.(in Chinese) [7] 詹腾,张屹,朱大林,等.基于多策略差分进化的元胞多目标遗传算法[J].计算机集成制造系统,2014,20(6):1342-1341. ZHAN Teng,ZHANG Yi,ZHU Da-lin,et al.Cellular multi-objective genetic algorithm based on multi-strategy differential evolution[J].Computer Integrated Manufacturing Systems,2014,20(6):1342-1351.(in Chinese) [8] 王福才,周鲁萍.混合精英策略的元胞多目标遗传算法及其应用[J].电子学报,2016,44(3):709-719. WANG Fu-cai,ZHOU Lu-ping.Cellular multi-objective genetic algorithm based on hybrid elite and application[J].Acta Electronica Sincia,2016,44(3):709-719.(in Chinese) [9] DORRONSORO B,BOUVRY P.Cellular genetic algorithms without additional parameters[J].The Journal of Supercomputing,2013,63(3):816-835. [10] ALI M Z,AWAD N,SUGANTHAN P N,et al.An adaptive multipopulation differential evolution with dynamic population reduction[J].IEEE Transactions on Cybernetics,2017,47(9):2768-2779. [11] ALBA E,DORRONSORO B.The exploration/exploitation tradeoff in dynamic cellular genetic algorithms[J].IEEE Transactions on Evolutionary Computation,2005,9(2):126-142. [12] TANG L,DONG Y,LIU J.Differential evolution with an individual-dependent mechanism[J].IEEE Transactions on Evolutionary Computation,2015,19(4):560-574. [13] WU G,MALLIPEDDI R,SUGANTHAN P N,et al.Differential evolution with multi-population based ensemble of mutation strategies[J].Information Sciences,2016,329:329-345. [14] XU B,TAO L,CHEN X,et al.Adaptive differential evolution with multi-population-based mutation operators for constrained optimization[J].Soft Computing,2019,23:3423-3447 [15] DEB K,THIELE L,LAUMANNS M,et al.Scalable multi-objective optimization test problems[A].Proceedings of the 2002 Congress on Evolutionary Computation[C].Honolulu,USA:IEEE,2002.825-830. [16] ZITZLER E,THIELE L.Multiobjective evolutionary algorithms:a comparative case study and the strength Pareto approach[J].IEEE Transactions on Evolutionary Computation,1999,3(4):257-271. [17] ZHANG Q,LI H.MOEA/D:A multiobjective evolutionary algorithm based on decomposition[J].IEEE Transactions on Evolutionary Computation,2007,11(6):712-731. [18] LI K,DEB K,ZAHNG Q,et al.An evolutionary many-objective optimization algorithm based on dominance and decomposition[J].IEEE Transactions on Evolutionary Computation,2015,19(5):694-716. |