The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Reference point based multi-objective optimization using evolutionary algorithms
Abstract
Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Although there are advantages of knowing the range of each objective for Pareto-optimality and the shape of the Pareto-optimal frontier itself in a problem for an adequate decision-making, the task of choosing a single preferred Pareto-optimal solution is also an important task which has received a lukewarm attention so far. In this paper, we combine one such preference based strategy with an EMO methodology and demonstrate how, instead of one solution, a preferred set solutions near the reference points can be found parallely. We propose a modified EMO procedure based on the elitist non-dominated sorting GAor NSGA-II. On two-objective to 10-objective optimization problems, the modified NSGA-II approach shows its efficacy in finding an adequate set of Pareto-optimal points. Such procedures will provide the decision-maker with a set of solutions near her/his preference so that a better and a more reliable decision can be made.
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Citations
Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Self-citationMulti-Objective Optimization Using Evolutionary Algorithms
Deb, K., & Kalyanmoy, D. (2001) · Andalas University Repository (Andalas University) · Cited by 14,918
Self-citationEvolutionary Algorithms for Solving Multi-Objective Problems
(2007) · Genetic and Evolutionary Computation Series · doi:10.1007/978-0-387-36797-2 · Cited by 5,686
Nonlinear Multiobjective Optimization
Miettinen, K. (1998) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4615-5563-6 · Cited by 4,710
An efficient constraint handling method for genetic algorithms
Deb, K. (2000) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/s0045-7825(99)00389-8 · Cited by 3,892
Self-citationNonlinear Multiobjective Optimization
Mardle, S., & Miettinen, K. M. (2000) · The Journal of the Operational Research Society · doi:10.2307/254267 · Cited by 3,049
Scalable Test Problems for Evolutionary Multiobjective Optimization
Deb, K., Thiele, L., Laumanns, M., & Zitzler, E. (2005) · Advanced Information and Knowledge Processing · doi:10.1007/1-84628-137-7_6 · Cited by 2,010
Self-citationCombining Convergence and Diversity in Evolutionary Multiobjective Optimization
Laumanns, M., Thiele, L., Deb, K., & Zitzler, E. (2002) · Evolutionary Computation · doi:10.1162/106365602760234108 · Cited by 1,487
Self-citationEngineering optimization: Methods and applications
Reklaitis, G. V. (1984) · Advances in Engineering Software (1978) · doi:10.1016/0141-1195(84)90019-6 · Cited by 1,079
The Use of Reference Objectives in Multiobjective Optimization
Wierzbicki, A. P. (1980) · Lecture notes in economics and mathematical systems · doi:10.1007/978-3-642-48782-8_32 · Cited by 883
Cited by
Evolutionary many-objective optimization: A short review
Ishibuchi, H., Tsukamoto, N., & Nojima, Y. (2008) · 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) · doi:10.1109/cec.2008.4631121 · Cited by 914
Tian, Y., Cheng, R., Zhang, X., Cheng, F., & Jin, Y. (2018) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2017.2749619 · Cited by 699
Preference-Based Evolutionary Many-Objective Optimization for Agile Satellite Mission Planning
Li, L., Chen, H., Li, J., Jing, N., & Emmerich, M. (2018) · IEEE Access · doi:10.1109/access.2018.2859028 · Cited by 46
Metadata
- Authors
- Deb, K., & Sundar, J.
- Venue
- Proceedings of the 8th annual conference on Genetic and evolutionary computation
- Publisher
- ACM
- Published
- 2006-07-08
- Pages
- 635-642
- OpenAlex
- W2110828487
- Cited by
- 561
- References
- 17
- FWCI
- 12.84
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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