References
Coello C. and Toscano G. (2000). A Micro-Genetic Algorithm for Multiobjective Optimization, Lania-RI-2000-06, Laboratorio Nacional de Informática Avanzada, Xalapa, Veracruz, México.
Corne D., Jerram N., Knowles J. and Oates J. (2001). PESA-II: Region-based Selection in Evolutionary Multiobjective Optimization. In: Spector L., Goodman E., Wu A., Langdon W.B., Voigt H.-M., Gen M., Sen S., Dorigo M., Pezeshk S., Garzon M.H., and Burke E. (eds.),Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001). Morgan Kaufmann Publishers, 283–290.
Deb K., Agrawal S., Pratab A., and Meyarivan T. (2000). A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. KanGal report 200001, Indian Institute of Technology, Kanpur, India.
Ehrgott M. and Gandibleux X. (2000). A Survey and Annotated Bibliography on Multiobjective Combinatorial Optimization.OR Spektrum 22, 425–460.
Erickson M., Mayer A. and Horn J. (2001). The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems. In: Zitzler E., Deb K., Thiele L., Coello Coello C.A. and Corne D. (eds.),First International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science 1993. Springer Verlag, 681–695.
Fonseca C.M. and Fleming P.J. (1993). Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. In: Forrest S. (ed.),Proceedings of the Fifth International Conference on Genetic Algorithms, San Mateo, California, 1993. University of Illinois at Urbana-Champaign. Morgan Kaufman, 416–423.
Garey M. and Johnson D. (1979).Computers and Intractability. Freeman.
Horn J., Nafpliotis N. and Goldberg D.E. (1994). A Niched Pareto Genetic Algorithm for Multiobjective Optimization. Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Orlando, USA, 82–87.
Knowles J.D. and Corne D.W. (1999). The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimisation. Proceedings of the 1999 Congress on Evolutionary Computation, Washington, D.C., 98–105.
Srinivas N. and Deb K. (1994). Multiobjective Optimization Using Non-Dominated Sorting in Genetic Algorithms.Evolutionary Computation 2, 221–248.
Zitzler E., Laumanns M. and Thiele L. (2001). SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.
Zitzler E., Laumanns M., Thiele L. Fonseca, C. and Grunert da Fonseca V. (2002). Why Quality Assessment of Multiobjective Optimizers is Difficult. In: Cantú-Paz E., Mathias K., Roy R., Davis D., Poli R., Balakrishnan K., Honavar V., Rudolph G., Wegener J., Bull L., Potter M.A., Schultz A.C., Miller J.F., Burke E. and Jonoska N. (eds.),Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2002). Morgan Kaufmann Publishers, 666–673.
Zitzler E. and Thiele L. (1998). An Evolutionary Algorithm for Multiobjective Optimization: The strength Pareto Approach. Technical Report 43, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Zürich, Switzerland.
Rights and permissions
About this article
Cite this article
Julián Molina. Top 12, 76–80 (2004). https://doi.org/10.1007/BF02578922
Issue Date:
DOI: https://doi.org/10.1007/BF02578922