The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems
Open accessAbstract
In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA) difficulty in converging to the true Pareto-optimal front. Identification of such features helps us develop difficult test problems for multi-objective optimization. Multi-objective test problems are constructed from single-objective optimization problems, thereby allowing known difficult features of single-objective problems (such as multi-modality, isolation, or deception) to be directly transferred to the corresponding multi-objective problem. In addition, test problems having features specific to multi-objective optimization are also constructed. More importantly, these difficult test problems will enable researchers to test their algorithms for specific aspects of multi-objective optimization.
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Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
Srinivas, N., & Deb, K. (1994) · Evolutionary Computation · doi:10.1162/evco.1994.2.3.221 · Cited by 6,935
Self-citationComparison of Multiobjective Evolutionary Algorithms: Empirical Results
Zitzler, E., Deb, K., & Thiele, L. (2000) · Evolutionary Computation · doi:10.1162/106365600568202 · Cited by 5,697
Self-citationAn 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-citationMultiple Criteria Optimization: Theory, Computation, and Application
Laundy, R. S. (1989) · Cited by 3,420
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Schaffer, J. D. (1985) · international conference on Genetic algorithms · Cited by 2,654
A niched Pareto genetic algorithm for multiobjective optimization
Horn, J., Nafpliotis, N., & Goldberg, D. E. (2002) · Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence · doi:10.1109/icec.1994.350037 · Cited by 2,433
An Overview of Evolutionary Algorithms in Multiobjective Optimization
Fonseca, C. M., & Fleming, P. J. (1995) · Evolutionary Computation · doi:10.1162/evco.1995.3.1.1 · Cited by 2,266
Multiobjective optimization using evolutionary algorithms — A comparative case study
Zitzler, E., & Thiele, L. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0056872 · Cited by 2,262
GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION
Fonseca, C. M., & Fleming, P. J. (1993) · Cited by 2,056
Cited by
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 genetic algorithms: A tutorial
Konak, A., Coit, D. W., & Smith, A. E. (2006) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2005.11.018 · Cited by 3,440
A review of multiobjective test problems and a scalable test problem toolkit
Huband, S., Hingston, P., Barone, L., & While, L. (2006) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2005.861417 · Cited by 2,090
Scalable multi-objective optimization test problems
Deb, K., Thiele, L., Laumanns, M., & Zitzler, E. (2003) · Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) · doi:10.1109/cec.2002.1007032 · Cited by 1,627
Self-citationEvolutionary multi-objective optimization: a historical view of the field
Coello Coello, C. A. (2006) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2006.1597059 · Cited by 1,446
Metadata
- Authors
- Deb, K.
- Venue
- Evolutionary Computation
- Publisher
- MIT Press - Journals
- Published
- 1999-09
- Volume
- 7
- Issue
- 3
- Pages
- 205-230
- ISSN
- 1063-6560 (ISSN-L)
- 1530-9304
- OpenAlex
- W2152551290
- Cited by
- 1,451
- References
- 33
- FWCI
- 36.67
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
