[1] HORNBY G S, GLOBUS A, LINDEN D S, et al. Automated antenna design with evolutionary algorithms[C]//SPACE Conferences and Exposition. San Jose:AIAA, 2006:19-21. [2] WEISE T, PODLICH A, REINHARD K, et al. Evolutionary Freight Transportation Planning[M]. Berlin:Springer, 2009:768-777. [3] HOVESTADT L, DANAHER T. Beyond the Grid:Architecture and Information Technology Applications of a Digital Architectonic[M]. Boston:Birkhauser, 2010:273-274. [4] 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.(GONG M G, JIAO L C, YANG D D, et al. Research on evolutionary multi-objective optimization algorithms[J]. Journal of Software, 2009, 20(2):271-289.) [5] FONSECA C M, FLEMING P J. Genetic algorithms for multiobjective optimization:formulation discussion and generalization[C]//Proceedings of the 5th International Conference on Genetic Algorithms. San Francisco, CA:Morgan Kaufmann Publishers Inc., 1993:416-423. [6] SRINIVAS N, DEB K. Multiobjective optimization using non-dominated sorting in genetic algorithms[J]. Evolutionary Computation, 1994, 2(3):221-248. [7] HORN J, NAFPLIOTIS N, GOLDBERG D E. A niched Pareto genetic algorithm for multiobjective optimization[C]//Proceedings of the 1st IEEE Conference on Evolutionary Computation. Piscataway, NJ:IEEE, 1994:82-87. [8] 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. [9] 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. [10] 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. [11] BROCKHOFF D, ZITZLER E. Are All Objectives Necessary on Dimensionality Reduction in Evolutionary Multiobjective Optimization[M]. Berlin:Springer, 2006, 4193:533-542. [12] 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. [13] 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.(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.) [14] FORTIN F A, PARIZEAU M. Revisiting the NSGA-Ⅱ crowding-distance computation[C]//Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation. New York:ACM, 2013:623-630. [15] MOHAPATRA P, ROY S. AP-NSGA-Ⅱ:an evolutionary multi-objective optimization algorithm using average-point-based NSGA-Ⅱ[C]//Proceedings of 4th International Conference on Soft Computing for Problem Solving. Berlin:Springer, 2015:565-575. [16] PATEL G K, DABHI V K, PRAJAPATI H B. Study and analysis of particle swarm optimization for improving partition clustering[C]//Proceedings of the 2015 IEEE International Conference on Advances in Computer Engineering and Applications. Piscataway, NJ:IEEE, 2015:218-225. [17] LI Q, LIU X. A K-medoids Clustering Algorithm with Initial Centers Optimized by a P System[M]. Berlin:Springer International Publishing, 2015:488-500. [18] ZITZLER E, DEB K, THIELE L. Comparison of multi-objective evolutionary algorithms:empirical results[J]. IEEE Transactions on Evolutionary Computation, 2000, 8(2):173-195. [19] SCHAFER J D. Multi-objective optimization with vector evaluated genetic algorithm[C]//Proceedings of the 1st International Conference on Genetic Algorithms. Hillsdale, NJ:L. Erlbaum Associates Inc., 1985:93-100. [20] KUKKONEN S, LAMPINEN J. Performance assessment of generalized differential evolution 3 with a given set of constrained multi-objective test problems[C]//Proceedings of the 11th Conference on Congress on Evolutionary Computation. Piscataway, NJ:IEEE, 2009:1943-1950. [21] 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, 25(5):1025-1050.(HU W, YEN G G, ZHANG X. Multiobjective particle swarm optimization based on Pareto entropy[J].Journal of Software, 2014, 25(5):1025-1050.) |