Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 63-68.
• Intelligent Computing • Previous Articles Next Articles
MA Yuan-feng1,LI Ang-ru2,YU Hui-min2,PAN Xiao-ying2,3
CLC Number:
| [1]LIN H,PENG Y.Immune clonal algorithm with fitness sharing for multi-objective optimization [J].Control Theory & Applications,2011,28(2):206-214. [2]SHANG R,JIAO L,YU H,et al.Quantum immune clone for solving constrained multi-objective optimization[J].Evolutiona-ry Computation,2015,3(4):26-41. [3]AN S,LI Q,YANG S.An Improved Light Beam Search Method in Multi-objective Inverse Problem Optimizations[J].IEEE Transactions on Magnetics,2016,52(3):1-4. [4]FONSECA C M,FLEMING P J.Genetic algorithm for multi-objective optimization:Formulation,discussion and generation[C]∥5th Int’l Conf.on Genetic Algorithms.San Mateo:Morgan Kauffman Publishers,1993:416-423. [5]SRINIVAS N,DEB K.Multi-objective optimization using non-dominated sorting in genetic algorithms[J].Evolutionary Computation,1994,2(3):221-248. [6]HORN J,NAFPLIOTIS N,GOLDBERG D E.A niched Pareto genetic algorithm for multi-objective optimization[C]∥1st IEEE Congress on Evolutionary Computation.Piscataway:IEEE,1994:82-87. [7]ZITZLER E,LAUMANNS M,THIELE L.SPEA2:Improving the strength Pareto evolutionary algorithm[C]∥Evolutionary Methods for Design,Optimization and Control with Applications to Industrial Problems.Berlin:Springer-Verlag,2002:95-100. [8]KNOWLES J D,CORNE D W.Approximating the non-dominated front using the Pareto archived evolution strategy[J].Evolutionary Computation,2000,8(2):149-172. [9]CORNE D W,JERAM N R,KNOWLES J D,et al.PESA-II:Region-Based selection in evolutionary multi-objective optimization[C]∥Genetic and Evolutionary Computation Conf.(GECCO 2001).San Francisco:Morgan Kaufmann Publishers,2001:283-290. [10]ERICKSON M,MAYER A,HORN J.The niched Pareto gene- tic algorithm 2 applied to the design of groundwater remediation system[C]∥1st Int’l Conf.on Evolutionary Multi-Criterion Optimization(EMO 2001).Berlin:Springer-Verlag,2001:681-695. [11]DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multi-objective genetic algorithm:NSGA-II[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197. [12]MARTINEZ S Z,COELLO C A C.A multi-objective evolutiona- ry algorithm based on decomposition for constrained multi-objective optimization [C]∥2014 IEEE Congress on Evolutionary Computation.Beijing,China:IEEE,2014:429-436. [13]ZHU Q,LIN Q,DU Z,et al. A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm.Information Sciences,2016,345(C):177-198. [14]QI Y,HOU Z,YIN M,et al.An immune multi-objective optimization algorithm with differential evolution inspired recombination .Applied Soft Computing,2015,29(C):395-410. [15]FRESCHI F,REPETTO M.VIS:An artificial immune network for multi-objective optimization[J].Engineering Optimization,2006,38(8):975-996. [16]JIAO L C,GONG M G,SHANG R H,et al.Clonal selection with Immune dominance and energy based multi-objective optimization[C]∥3rd Int’l Conf.on Evolutionary Multi-Criterion Optimization(EMO 2005).Berlin:Springer-Verlag,2005:474-489. [17]GONG M G,JIAO L C,DU H F,et al.Multi-objective immune algorithm with non-dominated neighbor-based selection[J].Evolutionary Computation,2008,16(2):225-255. [18]舒万能,丁立新,汪慎文.基于反馈机制的克隆反馈优化算法的稳定性研究[J].计算机科学,2012,39(10):187-189. [19]戚玉涛,刘芳,常伟远,等.求解多目标问题的Memetic免疫优化算法[J].软件学报,2013,19(7):1529-1544. [20]公茂果,焦李成,杨咚咚,等.进化多目标优化算法研究[J].软件学报,2009,20(2):271-289. [21]DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multi-objective genetic algorithm:NSGA-II[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197. [22]WANG H,WANG W,SUN H,et al.A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems[J].Soft Computing,2017,21(15):4297-4307. [23]CASEIRO R,HENRIQUES J F,MARTINS P,et al.A non- parametric Riemannian framework on tensor field with application to foreground segmentation[C]∥IEEE International Conference on Computer Vision.IEEE,2011:1-8. [24]ZHANG H,ZHOU A,SONG S,et al.A Self-Organizing Multi-objective Evolutionary Algorithm.IEEE Transactions on Evolutionary Computation,2016,20(5):792-896. [25]GIAGKIOZIS I,PURSHOUSE R C,FLEMING P J.An overview of population-based algorithms for multi-objective optimization[J].International Journal of Systems Science,2015,46(9):1572-1599. |
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