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Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
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Cited by
Ahmad, F., Iqbal, A., Ashraf, I., Marzband, M., & khan, I. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.01.180 · Cited by 533
“Furthermore, an expert consultation is required, and some particular Pareto optimum fronts cannot be identified by this method [ 81 ] .”
InfluentialMOGOA algorithm for constrained and unconstrained multi-objective optimization problems
Tharwat, A., Houssein, E. H., Ahmed, M. M., Hassanien, A. E., & Gabel, T. (2018) · Applied Intelligence · doi:10.1007/s10489-017-1074-1 · Cited by 114
Laszczyk, M., & Myszkowski, P. B. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2019.04.001 · Cited by 79
Metadata
- Authors
- Mirjalili, S., Jangir, P., & Saremi, S.
- Venue
- Applied Intelligence
- Published
- 2016-07-25
- Volume
- 46
- Issue
- 1
- Pages
- 79-95
- ISSN
- 0924-669X (ISSN-L)
- 1573-7497
- OpenAlex
- W2481453975
- Cited by
- 746
- References
- 4
- FWCI
- 33.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.