Computer Science ›› 2019, Vol. 46 ›› Issue (10): 222-228.doi: 10.11896/jsjkx.181001852
• Artificial Intelligence • Previous Articles Next Articles
LIU Xin-ping, GU Chun-hua, LUO Fei, DING Wei-chao
CLC Number:
| [1]ZITZLER E,THIELE L.Multi-objective evolutionary algo-rithms:A comparative case study and the strength pareto approach[J].IEEE Transactions on Evolutionary Computation,1999,3(4):257-271. [2]CORNE D W,KNOWLES J D,OATES M J.The Pareto Envelope-Based Selection Algorithm for Multiobjective Optimization[C]//International Conference on Parallel Problem Solving From Nature.Springer-Verlag,2000:839-884. [3]SRINIVAS N,DEB K.Multi-objective optimization using non-dominated sorting in genetic algorithms[J].Evolutionary Computation,1994,2(3):221-248. [4]COELLO C A C,PULIDO G T,LECHUGA M S.Handling multiple objectives with particle swarm optimization[J].IEEE Transactions on Evolutionary Computation,2004,8(3):256-279. [5]DEB K,AGRAWAL S,PRATAP A,et al.A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization:NSGA-II//International Conference on Parallel Problem Solving from Nature.Springer,2002. [6]ZHANG Q,LI H.MOEA/D:A Multiobjective Evolutionary Algorithm Based on Decomposition[J].IEEE Transactions on Evolutionary Computation,2007,11(6):712-731. [7]COELLO C A C.Evolutionary multi-objective optimization:a historical view of the field.IEEE Computational Intelligence Magazine,2006,1(1):28-36. [8]DEB K,JAIN H.An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach,Part I:Solving Problems With Box Constraints[J].IEEE Transactions on Evolutionary Computation,2014,18(4):577-601. [9]LI M,ZHENG J,WU J.Improving NSGA-II Algorithm Based on Minimum Spanning Tree[C]//Asia-Pacific Conference on Simulated Evolution and Learning.Springer Berlin Heidelberg,2008:170-179. [10]LUO C Y,CHEN M Y,ZHANG C Y.Improved NSGA-Ⅱ algorithm with circular crowded sorting[J].Control and Decision,2010,25(2):227-231.(in Chinese) 罗辞勇,陈民铀,张聪誉.采用循环拥挤排序策略的改进NSGA-Ⅱ算法[J].控制与决策,2010,25(2):227-231. [11]SATO Y,SATO M,MIYAKAWA M.Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy[C]//the Genetic and Evolutionary Computation Conference Companion.2017:161-162. [12]KUMAR M,GURIA C.The elitist non-dominated sorting ge-netic algorithm with inheritance(i-NSGA-II)and its jumping gene adaptations for multi-objective optimization[J].Information Sciences,2017,s382-383:15-37. [13]XIE C W,LI K,LIAO G Y.Improved NSGA2 Algorithm with Differential Evolution Local Search[J].Computer Science,2013,40(10):235-238.(in Chinese) 谢承旺,李凯,廖国勇.一种带差分局部搜索的改进型NSGA2算法[J].计算机科学,2013,40(10):235-238. [14]SCHOTT J R.Fault Tolerant Design Using Single and Multicr-iteria Genetic Algorithm Optimization[J].Cellular Immunology,1995,37(1):1-13. [15]VACHHANI V L,DABHI V K,PRAJAPATI H B.Improving NSGA-II for solving multi objective function optimization problems[C]//International Conference on Computer Communication and Informatics.IEEE,2016:1-6. [16]LAI W X,DENG Z M.Improved NSGA2 Algorithm Based on Dominant Strength[J].Computer Science,2018,45(6):187-192.(in Chinese) 赖文星,邓忠民.基于支配强度的NSGA2改进算法[J].计算机科学,2018,45(6):187-192. [17]ZITZLER E,DEB K,THIELE L.Comparison of Multiobjective Evolutionary Algorithms:Empirical Results[J].Evolutionary Computation,2000,8(2):173-195. [18]HOLLAND J H.Adaptation in natural and artificial systems [J].Ann Arbor,1992,6(2):126-137. [19]GRAY F.Pulse code communication[P].U.s.patent2,1953. [20]ZITZLER E,THIELE L.Multiobjective evolutionary algo-rithms:a comparative case study and the strength Pareto approach[J].IEEE Transactions on Evolutionary Computation,1999,3(4):257-271. [21]ZHOU H,MENG L M,WANG L P,et al.Multi-objective Evolutionary Algorithm Based on Decomposition Using Dynamic Neighbor[J].Mini-micro Systems,2017,38(9):2039-2044.(in Chinese) 周欢,孟利民,王丽萍,等.动态邻域的分解多目标进化算法[J].小型微型计算机系统,2017,38(9):2039-2044. [22]NEBRO A J,DURILLO J J,GARCIA-NIETO J,et al.SMPSO:A new PSO-based metaheuristic for multi-objective optimization[C]//Computational Intelligence in Miulticriteria Decision-ma-king,IEEE,2009:66-73. [23]HU W,YEN G G,ZHANG X.Multiobjective Particle Swarm Optimization Based on Pareto Entropy[J].Journal of Software,2014,25(5):1025-1050.(in Chinese) 胡旺,YEN G G,张鑫.基于Pareto熵的多目标粒子群优化算法[J].软件学报,2014(5):1025-1050. [24]LIN Q,CHEN J,ZHAN Z H,et al.A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems[J].IEEE Transactions on Evolutionary Computation,2016,20(5):711-729. [25]MA Y F,LI A R,YU H M,et al.Dynamic Crowding Distance-based Hybrid Immune Algorithm for Multi-objective Optimization Problem[J].Computer Science,2018,45(6):63-68.(in Chinese) 马元锋,李昂儒,余慧敏,等.基于动态拥挤距离的混合多目标免疫优化算法[J].计算机科学,2018,45(6):63-68. [26]VAN D A,GARY V,LAMONT B.Multiobjective Evolutionary Algorithm Research:A History and Analysis[J].Evolutionary Computation,1998,8(2):125-147. [27]VAN VELDHUIZEN D A,LAMONT G B.Evolutionary computation and convergence to a pareto front[C]//Koza J R.Late Breaking Papers at the Genetic Programming 1998 Conference.Stanford University,California,1998:221-228. |
| [1] | LAI Wen-xing, DENG Zhong-min. Improved NSGA2 Algorithm Based on Dominant Strength [J]. Computer Science, 2018, 45(6): 187-192. |
| [2] | MA Qing. Multi-objective Evolutionary Algorithm Based Weight Vectors Generation Method of MOEA/D [J]. Computer Science, 2016, 43(Z11): 117-122. |
| [3] | AI Hao-jun,GONG Su-wen and YUAN Yuan-ming. Research of Cloud Computing Virtual Machine Allocated Strategy on Multi-objective Evolutionary Algorithm [J]. Computer Science, 2014, 41(6): 48-53. |
| [4] | . Pareto-based Multi-object Clonal Evolutionary Algorithm [J]. Computer Science, 2012, 39(Z6): 489-492. |
|
||
Home