The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Optimization of problems with multiple objectives using the multi-verse optimization algorithm
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A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
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
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Friedman, M. (1937) · Journal of the American Statistical Association · doi:10.1080/01621459.1937.10503522 · Cited by 7,005
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
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Zitzler, E., Deb, K., & Thiele, L. (2000) · Evolutionary Computation · doi:10.1162/106365600568202 · Cited by 5,697
Derrac, J., García, S., Molina, D., & Herrera, F. (2011) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2011.02.002 · Cited by 5,512
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45356-3_83 · Cited by 5,289
Survey of multi-objective optimization methods for engineering
Marler, R. T., & Arora, J. S. (2004) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-003-0368-6 · Cited by 4,710
Handling multiple objectives with particle swarm optimization
Coello, C. A. C., Pulido, G. T., & Lechuga, M. S. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826067 · Cited by 4,455
Cited by
Designing emergency flood evacuation plans using robust optimization and artificial intelligence
Khalilpourazari, S., & Pasandideh, S. H. R. (2021) · Journal of Combinatorial Optimization · doi:10.1007/s10878-021-00699-0 · Cited by 55
Metadata
- Authors
- Mirjalili, S., Jangir, P., Mirjalili, S. Z., Saremi, S., & Trivedi, I. N.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 134
- Pages
- 50-71
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W2735292160
- Cited by
- 369
- References
- 50
- FWCI
- 11.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Optimization of problems with multiple objectives using the multi-verse optimization algorithm. https://app.cochat.ai/papers/10.1016/j.knosys.2017.07.018
- The paper
- Mirjalili, S., Jangir, P., Mirjalili, S. Z., Saremi, S., & Trivedi, I. N. (2017). Optimization of problems with multiple objectives using the multi-verse optimization algorithm. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2017.07.018
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.
