Multiobjective Particle Swarm optimizer with dynamic epsilon-dominance sorting
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[1] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[2] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[3] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[4] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[5] Carlos A. Coello Coello,et al. Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[6] Lothar Thiele,et al. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .
[7] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[8] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[9] Günter Rudolph,et al. Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets , 2007, EMO.
[10] M Reyes Sierra,et al. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art , 2006 .
[11] Jing J. Liang,et al. Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms , 2007 .
[12] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[13] Tong Heng Lee,et al. Multiobjective Evolutionary Algorithms and Applications , 2005, Advanced Information and Knowledge Processing.
[14] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[15] Ivo F. Sbalzariniy,et al. Multiobjective optimization using evolutionary algorithms , 2000 .
[16] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[17] Patrick M. Reed,et al. The Value of Online Adaptive Search: A Performance Comparison of NSGAII, epsilon-NSGAII and epsilonMOEA , 2005, EMO.
[18] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[19] Marco Laumanns,et al. Scalable multi-objective optimization test problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[20] Ponnuthurai Nagaratnam Suganthan,et al. Two-lbests based multi-objective particle swarm optimizer , 2011 .