The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
A Comprehensive Review on Multi-objective Optimization Techniques: Past, Present and Future
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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
Multi-Objective Optimization Using Evolutionary Algorithms
Deb, K., & Kalyanmoy, D. (2001) · Andalas University Repository (Andalas University) · Cited by 14,918
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Zhang, Q., & Li, H. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.892759 · Cited by 10,069
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Zitzler, E., & Thiele, L. (1999) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.797969 · Cited by 8,798
Deb, K., & Jain, H. (2014) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2013.2281535 · Cited by 7,133
A review on genetic algorithm: past, present, and future
Katoch, S., Chauhan, S. S., & Kumar, V. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10139-6 · Cited by 4,655
Self-citationMarine Predators Algorithm: A nature-inspired metaheuristic
Faramarzi, A., Heidarinejad, M., Mirjalili, S., & Gandomi, A. H. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113377 · Cited by 2,412
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Knowles, J. D., & Corne, D. W. (2000) · Evolutionary Computation · doi:10.1162/106365600568167 · Cited by 2,286
Indicator-Based Selection in Multiobjective Search
Zitzler, E., & Künzli, S. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30217-9_84 · Cited by 2,259
Jain, H., & Deb, K. (2014) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2013.2281534 · Cited by 2,172
Cited by
Self-Driving Laboratories for Chemistry and Materials Science
Tom, G., Schmid, S. P., Baird, S. G., Cao, Y., Darvish, K., Hao, H., Lo, S., Pablo-García, S., Rajaonson, E. M., Skreta, M., et al. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00055 · Cited by 707
Rajwar, K., Deep, K., & Das, S. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10470-y · Cited by 687
Metadata
- Authors
- Sharma, S., & Kumar, V.
- Venue
- Archives of Computational Methods in Engineering
- Published
- 2022-07-04
- Volume
- 29
- Issue
- 7
- Pages
- 5605-5633
- ISSN
- 1134-3060 (ISSN-L)
- 1886-1784
- OpenAlex
- W4283804538
- Cited by
- 455
- References
- 71
- FWCI
- 39.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Comprehensive Review on Multi-objective Optimization Techniques: Past, Present and Future. https://app.cochat.ai/papers/10.1007/s11831-022-09778-9
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- Sharma, S., & Kumar, V. (2022). A Comprehensive Review on Multi-objective Optimization Techniques: Past, Present and Future. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-022-09778-9
Data sources
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.
