Robustness in multi-objective optimization using evolutionary algorithms

Schaffer, J.D.: Some experiments in machine learning using vector evaluated genetic algorithms. Ph.D. thesis, Vanderbilt University, Nashville, TN (1984)

Fonseca, C.M., Fleming, P.J.: Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Proceedings of the Fifth International Conference on Genetic Algorithms, pp. 416–423. Morgan Kauffman, Los Altos (1993)

Srinivas, N., Deb, K.: Multiobjective optimization using nondominated sorting in genetic algorithms. Evol. Comput. 2, 221–248 (1995)

Horn, J., Nafpliotis, N., Goldberg, D.E.: A niched Pareto genetic algorithm for multiobjective optimization, In: Proceedings of the First IEEE Conference on Evolutionary Computation, pp. 82–87 (1994)

Deb, K., Pratap, A., Agrawal, S., Meyarivan, T.: A fast and elitist multi-objective genetic algorithm: NSGAII. IEEE Trans. Evol. Comput. 6, 182–197 (2002)

Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: improving the strength Pareto evolutionary algorithm. TIK report no. 103, Swiss Federal Institute of Technology, Zurich, Switzerland (2001)

Knowles, J.D., Corne, D.W.: Approximating the non-dominated front using the Pareto archived evolutionary strategy. Evol. Comput. J. 8, 149–172 (2000)

Deb, K.: Multi-Objective Optimisation Using Evolutionary Algorithms. Wiley, New York (2001)

Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer, Dordrecht (2002)

Ray, T.: Constrained robust optimal design using a multiobjective evolutionary algorithm. In: Proceedings of the 2002 Congress on Evolutionary Computation—CEC’02, pp. 419–424 (2002)

Jin, Y., Sendhoff, B.: Trade-off between performance and robustness: an evolutionary multiobjective approach. In: Second International Conference on Evolutionary Multi-Objective Optimization—EMO’2003, Faro, Portugal, pp. 237–251 (2003)

Jin, Y., Branke, J.: Evolutionary optimization in uncertain environments—a survey. IEEE Trans. Evol. Comput. 9, 303–317 (2005)

Wiesmann, D., Hammel, U., Bäck, T.: Robust design of multilayer optical coatings by means of evolutionary algorithms. IEEE Trans. Evol. Comput. 2, 162–167 (1998)

Das, I.: Nonlinear multicriteria optimization and robust optimality. Ph.D. thesis, Rice University, Houston, TX, USA (1997)

Tsutsui, S., Ghosh, A.: Genetic algorithms with a robust solution scheme. IEEE Trans. Evol. Comput. 1, 201–208 (1997)

Chen, W., Sahai, A., Messac, A., Sundararaj, G.J.: Physical programming for robust design. In: 40th Structures, Structural Dynamics and Materials Conference, St. Louis, USA (1999)

Deb, K., Gupta, H.: Searching for robust Pareto-optimal solutions in multi-objective optimization. In: Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO-2005), Guanajuato, Mexico. Lecture Notes in Computer Science, vol. 3410, pp. 150–164. Springer, Berlin (2005)

Gaspar-Cunha, A., Oliveira, P., Covas, J.A.: Use of genetic algorithms in multicriteria optimization to solve industrial problems. In: Seventh International Conference on Genetic Algorithms, Michigan, USA, pp. 682–688 (1997)

Gaspar-Cunha, A., Covas, J.A.: RPSGAe—a multiobjective genetic algorithm with elitism: application to polymer extrusion. In: Gandibleux, X., Sevaux, M., Sörensen, K., T’kindt, V. (eds.) Metaheuristics for Multiobjective Optimisation. Lecture Notes in Economics and Mathematical Systems, pp. 221–249. Springer, Berlin (2004)

Goldberg, D.E.: Genetic Algorithms in Search, Optimisation and Machine Learning. Addison-Wesley, Reading (1989)

Gaspar-Cunha, A.: Modelling and optimisation of single screw extrusion. Ph.D. thesis, University of Minho, Guimarães, Portugal (2000)

Roseman, M.A., Gero, J.S.: Reducing the Pareto optimal set in multicriteria optimization. Eng. Optim. 8, 189–206 (1985)

Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: empirical results. Evol. Comput. 8, 173–195 (2000)