A decomposition-based archiving approach for multi-objective evolutionary optimization
暂无分享,去创建一个
Jianyong Sun | Dun-Wei Gong | Yong Zhang | Bo-Yang Qu | Jianyong Sun | B. Qu | D. Gong | Yong Zhang
[1] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[2] J. Teich,et al. The role of /spl epsi/-dominance in multi objective particle swarm optimization methods , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[3] Yujia Wang,et al. Particle swarm optimization with preference order ranking for multi-objective optimization , 2009, Inf. Sci..
[4] Jonathan E. Fieldsend,et al. Using unconstrained elite archives for multiobjective optimization , 2003, IEEE Trans. Evol. Comput..
[5] Ye Tian,et al. An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization , 2015, IEEE Transactions on Evolutionary Computation.
[6] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[7] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[8] Yuhui Zheng,et al. Image segmentation by generalized hierarchical fuzzy C-means algorithm , 2015, J. Intell. Fuzzy Syst..
[9] Graham Kendall,et al. A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization , 2014, Appl. Soft Comput..
[10] Kalyanmoy Deb,et al. Current trends in evolutionary multi-objective optimization , 2007 .
[11] Qiuzhen Lin,et al. Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm , 2016, Inf. Sci..
[12] Lu Liu,et al. Decomposition-based multi-objective evolutionary algorithm with mating neighborhood sizes and reproduction operators adaptation , 2017, Soft Comput..
[13] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[14] Ferrante Neri,et al. Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm , 2016, Integr. Comput. Aided Eng..
[15] Jian Zhuang,et al. Combining Crowding Estimation in Objective and Decision Space With Multiple Selection and Search Strategies for Multi-Objective Evolutionary Optimization , 2014, IEEE Transactions on Cybernetics.
[16] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[17] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[18] Ferrante Neri,et al. A fast hypervolume driven selection mechanism for many-objective optimisation problems , 2017, Swarm Evol. Comput..
[19] Xingming Sun,et al. Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing , 2015, IEICE Trans. Commun..
[20] Qingfu Zhang,et al. Multiobjective evolutionary algorithms: A survey of the state of the art , 2011, Swarm Evol. Comput..
[21] Xianpeng Wang,et al. A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems , 2013, IEEE Transactions on Evolutionary Computation.
[22] Alan D. Christiansen,et al. Two new GA-based methods for multiobjective optimization , 1998 .
[23] Carlos A. Coello Coello,et al. Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Comput. Intell. Mag..
[24] Jie Chen,et al. DMOEA-εC: Decomposition-Based Multiobjective Evolutionary Algorithm With the ε-Constraint Framework , 2017, IEEE Trans. Evol. Comput..
[25] Sanjib Ganguly,et al. Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation , 2013, Fuzzy Sets Syst..
[26] Xianpeng Wang,et al. An adaptive multi-population differential evolution algorithm for continuous multi-objective optimization , 2016, Inf. Sci..
[27] Soniya Lalwani,et al. A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm , 2013 .
[28] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[29] Kalyanmoy Deb,et al. A dual-population paradigm for evolutionary multiobjective optimization , 2015, Inf. Sci..
[30] Dipti Srinivasan,et al. A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition , 2017, IEEE Transactions on Evolutionary Computation.
[31] Mihalis Yannakakis,et al. On the approximability of trade-offs and optimal access of Web sources , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[32] David E. Goldberg,et al. A niched Pareto genetic algorithm for multiobjective optimization , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[33] Shengxiang Yang,et al. Convergence Versus Diversity in Multiobjective Optimization , 2016, PPSN.
[34] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[35] A. Messac,et al. The normalized normal constraint method for generating the Pareto frontier , 2003 .
[36] Bin Wang,et al. Multi-objective optimization using teaching-learning-based optimization algorithm , 2013, Eng. Appl. Artif. Intell..
[37] Vivek K. Patel,et al. A multi-objective improved teaching-learning based optimization algorithm (MO-ITLBO) , 2016, Inf. Sci..
[38] Tinghuai Ma,et al. Social Network and Tag Sources Based Augmenting Collaborative Recommender System , 2015, IEICE Trans. Inf. Syst..
[39] Xiaodong Li,et al. Self-adaptive multi-objective evolutionary algorithm based on decomposition for large-scale problems: A case study on reservoir flood control operation , 2016, Inf. Sci..
[40] Chandan Guria,et al. The elitist non-dominated sorting genetic algorithm with inheritance (i-NSGA-II) and its jumping gene adaptations for multi-objective optimization , 2017, Inf. Sci..
[41] Indraneel Das. A preference ordering among various Pareto optimal alternatives , 1999 .
[42] Geoffrey T. Parks,et al. Selective Breeding in a Multiobjective Genetic Algorithm , 1998, PPSN.
[43] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[44] Gexiang Zhang,et al. A grid-based adaptive multi-objective differential evolution algorithm , 2016, Inf. Sci..
[45] Antonios Tsourdos,et al. A framework for multi-objective optimisation based on a new self-adaptive particle swarm optimisation algorithm , 2017, Inf. Sci..
[46] Günter Rudolph,et al. Convergence properties of some multi-objective evolutionary algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[47] Peter J. Fleming,et al. Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.
[48] Carlos A. Coello Coello,et al. Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[49] J. Dennis,et al. NORMAL-BOUNDARY INTERSECTION: AN ALTERNATE METHOD FOR GENERATING PARETO OPTIMAL POINTS IN MULTICRITERIA OPTIMIZATION PROBLEMS , 1996 .
[50] Wali Khan Mashwani,et al. Multiobjective evolutionary algorithm based on multimethod with dynamic resources allocation , 2016, Appl. Soft Comput..
[51] Li Li,et al. Multi-objective particle swarm optimization based on global margin ranking , 2017, Inf. Sci..
[52] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..