Ishibuchi H, Tsukamoto N, Nojima Y. Evolutionary many-objective optimization [C]. Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, Germany, 2008: 47-52.
[2]
Ikeda K, Kita H, Kobayashi S. Failure of pareto-based MOEAS: Does non-dominated really mean near to optimal [C]. Proceedings of the IEEE Congress on Evolutionary Computation, Seoul, South Korea, 2001, 2: 957-962.
[3]
Sato H, Aguirre H E, Tanaka K. Local Dominance Including Control of Dominance Area of Solutions in MOEAs[C]. Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, Honolulu, HI, 2007, 310-317.
[4]
Marco Laumanns, Lothar Thile, Kalyanmoy Deb, et al. combining convergence and diversity in Evolutionary Multiobjective Optimization[J]. IEEE Transactions on Evolutionary Computation, 2002, 10(3): 263-282.
[5]
Johannes M. Bader. Hypervolume-based search for multiobjective optimization: theory and methods [D]. PhD Dissertation Zurich, ETH, 2009.
[6]
Ishibuchi H, Doi T, Nojima Y. Incorporation of scalarizing fitness functions into evolutionary multiobjective optimization algorithms[C]. Proceedings of the Parallel Problem Solving from Nature, Berlin: Springer, 2008: 493-502.
[7]
Hughes E J. Multiple Single Objective Pareto Sampling[C]. Proceedings of the Congress on Evolutionary Computation, Canberra, Australia, 2006: 2678-2684.
[8]
Hughes E J. Evolutionary many-objective optimiz- ation: many once or one many[C]. Proceedings of the Congress on Evolutionary Computation, Edinburgh, Scotland, 2005, 1: 222-227.
[9]
Hughes, E J. MSOPS-II: A general purpose many-objective optimizer[C]. Proceedings of the Congress on Evolutionary Computation, Singapore, 2007: 3944-3951.
[10]
Sato H, Aguirre H E, Tanaka K. On the locality of dominance and recombination in multiobjective evolutionary algorithms [C]. Proceedings of the Congress on Evolutionary Computation, Edinburgh, Scotland, 2005, 1: 451-458.
[11]
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.
[12]
Eckart Zitzler, Marco Laumanns, Lothar Thiele. SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization[R]. TIK Report 103, Computer Engineering and Networks Laboratory (TIK), Zurich, ETH,2001.
[13]
Bader J, Zitzler E. HypE: An algorithm for fast hypervolume-based many-objective optimization [J]. IEEE Transactions on Evolutionary Computation, 2011, 19(1):45-76.
[14]
Storn R, Price K. Differential evolution - a simple and efficient adaptive scheme for global optimization over continuous spaces[R]. Technical Report TR-95-012. ICSI Berkeley. Available at http://www. icsi. berkeley. edu/~storn /code.html.
[15]
Filiz Gunes, Fikret Tokan. Pattern search optimization with applications on synthesis of linear antenna array [J]. Expert Systems with Applications, 2010, 37(6): 4698-4705.
[16]
Neelakantam V Venkatarayalu, Tapabrata Ray. Optimum design of yagi-uda antennas using computational intelligence [J]. IEEE Transactions on Antennas and Propagation, 2004, 52(7): 1811-1818.
