The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization
Abstract
Abstract This paper introduces a bio-inspired metaheuristic optimization algorithm named Tunicate Swarm Algorithm (TSA). The proposed algorithm imitates jet propulsion and swarm behaviors of tunicates during the navigation and foraging process. The performance of TSA is evaluated on seventy-four benchmark test problems employing sensitivity, convergence and scalability analysis along with ANOVA test. The efficacy of this algorithm is further compared with several well-regarded metaheuristic approaches based on the generated optimal solutions. In addition, we also executed the proposed algorithm on six constrained and one unconstrained engineering design problems to further verify its robustness. The simulation results demonstrate that TSA generates better optimal solutions in comparison to other competitive algorithms and is capable of solving real case studies having unknown search spaces. Note that the source codes of the proposed TSA algorithm are available at
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Cites
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
Goldberg, D. E., & Shakespeare, W. (2002) · Cited by 16,088
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
GSA: A Gravitational Search Algorithm
Rashedi, E., Nezamabadi-pour, H., & Saryazdi, S. (2009) · Information Sciences · doi:10.1016/j.ins.2009.03.004 · Cited by 7,358
Holland, J. H. (1992) · Scientific American · doi:10.1038/scientificamerican0792-66 · Cited by 5,764
SCA: A Sine Cosine Algorithm for solving optimization problems
Mirjalili, S. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.022 · Cited by 5,696
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
Mirjalili, S., Mirjalili, S. M., & Hatamlou, A. (2016) · Neural Computing and Applications · doi:10.1007/s00521-015-1870-7 · Cited by 2,925
Firefly algorithm, stochastic test functions and design optimisation
Yang, X. S. (2010) · International Journal of Bio-Inspired Computation · doi:10.1504/ijbic.2010.032124 · Cited by 2,729
Dorigo, M., Birattari, M., & Stutzle, T. (2006) · IEEE Computational Intelligence Magazine · doi:10.1109/ci-m.2006.248054 · Cited by 1,880
Dhiman, G., & Kumar, V. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.11.024 · Cited by 1,195
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Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications
Trojovský, P., & Dehghani, M. (2022) · Sensors · doi:10.3390/s22030855 · Cited by 895
Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems
Dehghani, M., Hubalovsky, S., & Trojovsky, P. (2021) · IEEE Access · doi:10.1109/access.2021.3133286 · Cited by 574
Dehghani, M., & Trojovský, P. (2023) · Frontiers in Mechanical Engineering · doi:10.3389/fmech.2022.1126450 · Cited by 567
Houssein, E. H., Saad, M. R., Hashim, F. A., Shaban, H., & Hassaballah, M. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2020.103731 · Cited by 499
Abdollahzadeh, B., Gharehchopogh, F. S., Khodadadi, N., & Mirjalili, S. (2022) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2022.103282 · Cited by 482
Metadata
- Authors
- Kaur, S., Awasthi, L. K., Sangal, A. L., & Dhiman, G.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 90
- Pages
- 103541
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W3007907254
- Cited by
- 1,246
- References
- 37
- FWCI
- 71.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kaur, S., Awasthi, L. K., Sangal, A. L., & Dhiman, G. (2020). Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2020.103541
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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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