References

[1]
[2]
[3]
T. T. Binh and U. Korn. An evolution strategy for the multiobjective optimization. In: The Second International Conference on Genetic Algorithms (Mendel 96) (Brno, Czech Republic, 1996); pp. 23–28. 1 2
[4]
[5]
D. Dumitrescu, C. Grosan and M. Oltean. A New Evolutionary Approach for Multiobjective Optimization. Studia Universitatis Babeș-Bolyai Informatica XLV, 51–67 (2000). 1 2
[6]
K. Deb, L. Thiele, M. Laumanns and E. Zitzler. Scalable Test Problems for Evolutionary Multiobjective Optimization. In: Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, edited by A. Abraham, L. Jain and R. Goldberg (Springer London, London, 2005); pp. 105–145. 1 2
[7]
[8]
M. Farina. A neural network based generalized response surface multiobjective evolutionary algorithm. In: Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), Vol. 1 (2002); p. 956–961 vol.1. 1 2
[9]
S. Huband, P. Hingston, L. Barone and L. While. A review of multiobjective test problems and a scalable test problem toolkit. IEEE Transactions on Evolutionary Computation 10, 477–506 (2006). 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
[10]
[11]
[12]
[13]
K. Ikeda, H. Kita and S. Kobayashi. Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? In: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546), Vol. 2 (2001); pp. 957–962. 1 2
[14]
H. Ishibuchi and T. Murata. A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 28, 392–403 (1998). 1 2
[15]
Y. Jin, M. Olhofer and B. Sendhoff. Dynamic Weighted Aggregation for Evolutionary Multi-Objective Optimization: Why Does It Work and How? In: Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation (GECCO'01) (San Francisco, California, 2001); pp. 1042–1049. 1 2 3 4
[16]
[17]
J. Lis and A. E. Eiben. A multi-sexual genetic algorithm for multiobjective optimization. In: Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97) (1997); pp. 59–64. 1 2
[18]
[19]
[20]
[21]
[22]
[23]
J. Mao, K. Hirasawa, J. Hu and J. Murata. Genetic symbiosis algorithm for multiobjective optimization problem. In: Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499) (2000); pp. 137–142. 1 2
[24]
A. Molyneaux, D. Favrat and G. B. Leyland. A New Clustering Evolutionary Multi-Objective Optimisation Technique. In: Third International Symposium on Adaptative Systems, Institute of Cybernetics, Mathematics and Physics (2001); pp. 41–47. 1 2 3 4 5
[25]
[26]
M. Preuss, B. Naujoks and G. Rudolph. Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions. In: Parallel Problem Solving from Nature - PPSN IX, edited by T. P. Runarsson, H.-G. Beyer, E. Burke, J. J. Merelo-Guervós, L. D. Whitley and X. Yao (Springer Berlin Heidelberg, Berlin, Heidelberg, 2006); pp. 513–522. 1 2
[27]
D. Quagliarella and A. Vicini. Sub-population policies for a parallel multiobjective genetic algorithm with applications to wing design. In: SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), Vol. 4 (1998); p. 3142–3147 vol.4. 1 2
[28]
W. Stadler and J. Dauer. Multicriteria Optimization in Engineering: A Tutorial and Survey. In: Structural Optimization: Status and Promise, edited by M. P. Kamat (American Institute of Aeronautics and Astronautics, Washington, DC, 1992); pp. 209–249. 1 2 3
[29]
K. Socha and M. Kisiel-Dorohinicki. Agent-based evolutionary multiobjective optimisation. In: Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), Vol. 1 (2002); p. 109–114 vol.1. 1 2 3
[30]
O. Schütze, M. Laumanns, C. A. Coello Coello, M. Dellnitz and E.-G. Talbi. Convergence of stochastic search algorithms to finite size pareto set approximations. Journal of Global Optimization 41, 559–577 (2008). 1 2
[31]
M. Sefrioui and J. Perlaux. Nash genetic algorithms: examples and applications. In: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), Vol. 1 (2000); p. 509–516 vol.1. 1 2
[32]
[33]
[34]
P. L. Toint. Test problems for partially separable optimization and results for the routine PSPMIN. Technical Report 83/4 (Department of Mathematics, University of Namur, Brussels, 1983). 1 2 3 4 5
[35]
M. Valenzuela-Rendón and E. Uresti-Charre. A nongenerational genetic algorithm for multiobjective optimization. In: Proceedings of the 7th International Conference on Genetic Algorithms (1997); pp. 658–665. 1 2
[36]
D. A. Van Veldhuizen. Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations. Ph.D. dissertation, Air Force Institute of Technology (Wright-Patterson AFB, OH, 06 1999). 1 2
[37]
[38]
[39]
C. Poloni, G. Mosetti and S. Contessi. Multi objective optimization by GAs: application to system and component design. In: Computational Methods in Applied Sciences '96: Invited Lectures and Special Technological Sessions of the Third ECCOMAS Computational Fluid Dynamics Conference and the Second ECCOMAS Conference on Numerical Methods in Engineering, edited by J.-A. Désidéri, C. Hirsch, P. Le Tallec, M. Pandolfi and others (John Wiley & Sons, Chichester, 1996); pp. 258–264. 1
[40]
[41]
[42]
J. D. Schaffer. Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of an International Conference on Genetic Algorithms and Their Applications, edited by J. J. Grefenstette (Pittsburgh, PA, 1985); pp. 93–100. Sponsored by Texas Instruments and the U.S. Navy Center for Applied Research in Artificial Intelligence (NCARAI). 1
[43]