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Abstract: Multi-objective evolutionary algorithms frequently use an archive of non-dominated solutions to approximate the Pareto front. We show that the truncation of this archive to a limited number of solutions can lead to oscillating and shrinking estimates of the Pareto front. New data structures to permit efficient query and update of the full archive are proposed, and the superior quality of frontal estimates found using the full archive is illustrated on test problems. (Update)
Context of citations to this paper: More
.... of restricting the number of solutions in the elite front can be shrinking [19] and oscillating retreating estimated Pareto fronts [20, 21, 22]. These problems also occur in SPEA, PAES and other existing MOEAs which use a truncated elite archive. A remedy to this situation...
...as time progresses. Recent work has also investigated efficient approaches to the storing and maintenance of F as its size grows [14, 17, 41]. Here a framework for general multi objective evolutionary neural network (MOENN) training is outlined in Figure 2, which can be...
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BibTeX entry: (Update)
R.M. Everson, J.E. Fieldsend, and S. Singh. Full Elite-Sets for Multiobjective Optimisation. In Proceedings of the fifth internatioanl conference on adaptive computing in design and manufacture (ACDM http://citeseer.ist.psu.edu/everson02full.html More
@misc{ everson-full,
author = "R. Everson and J. Fieldsend and S. Singh",
title = "Full Elite-Sets for Multiobjective Optimisation",
text = "R.M. Everson, J.E. Fieldsend, and S. Singh. Full Elite-Sets for Multiobjective
Optimisation. In Proceedings of the fifth internatioanl conference on adaptive
computing in design and manufacture (ACDM",
url = "citeseer.ist.psu.edu/everson02full.html" }
Citations (may not include all citations):162 Genetic Algorithms for Multiobjective Optimization: Formulat.. - Fonseca, Fleming - 1993
142 Multiple objective optimization with vector evaluated geneti.. (context) - Schaffer - 1985 ACM DBLP
133 Multiobjective Optimization Using Nondominated Sorting in Ge.. - Srinivas, Deb - 1995 DBLP
127 A Niched Pareto Genetic Algorithm 11 for Multiobjective Opti.. - Horn, Nafpliotis et al. - 1994
104 Evolutionary Algorithms for Multiobjective Optimization: Met.. - Zitzler - 1999
99 Comparison of Multiobjective Evolutionary Algorithms: Empiri.. - Zitzler, Deb et al. - 2000 DBLP
66 Approximating the nondominated front using the pareto archiv.. - Knowles, Corne - 2000 DBLP
54 Multiobjective Evolutionary Algorithms: Analyzing the State-.. - Van Veldhuizen, Lamont - 2000 DBLP
46 Genetic search strategies in multicriterion optimal design (context) - Hajela, Lin - 1992
18 A Unified Model for Multi-Objective Evolutionary Algorithms .. - Laumanns, Zitzler et al. - 2000
9 Pareto Multi-Objective Non-Linear Regression Modelling to Ai.. - Fieldsend, Singh - 2002
8 Extensions to the Strength Pareto Evolutionary Algorithm - Fieldsend, Everson et al. - 2001
5 InterQuad: An interactive quad tree based procedure for solv.. (context) - Sun, Steuer - 1996
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