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Engineering with Computers
Erschienen in: Engineering with Computers 1/2021

19.07.2019 | Original Article

ESA: a hybrid bio-inspired metaheuristic optimization approach for engineering problems

verfasst von: Gaurav Dhiman

Erschienen in: Engineering with Computers | Ausgabe 1/2021

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Abstract

In this paper, a hybrid bio-inspired metaheuristic optimization approach namely emperor penguin and salp swarm algorithm (ESA) is proposed. This algorithm imitates the huddling and swarm behaviors of emperor penguin optimizer and salp swarm algorithm, respectively. The efficiency of the proposed ESA is evaluated using scalability analysis, convergence analysis, sensitivity analysis, and ANOVA test analysis on 53 benchmark test functions including classical and IEEE CEC-2017. The effectiveness of ESA is compared with well-known metaheuristics in terms of the optimal solution. The proposed ESA is also applied on six constrained and one unconstrained engineering problems to evaluate its robustness. The results reveal that ESA offers optimal solutions as compared to the other competitor algorithms.
Vorheriger Artikel Rapid heating vibrations of FGM annular sector plates
Nächster Artikel Maximum energy dissipation for elasto-plastic plates via isogeometric shape optimization

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Metadaten
Titel
ESA: a hybrid bio-inspired metaheuristic optimization approach for engineering problems
verfasst von
Gaurav Dhiman
Publikationsdatum
19.07.2019
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 1/2021
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-019-00826-w

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