Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications
Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
2217/2022-2023
Faculty of Science, University of Hradec Kralove
PubMed
35161600
PubMed Central
PMC8838090
DOI
10.3390/s22030855
PII: s22030855
Knihovny.cz E-zdroje
- Klíčová slova
- nature inspired, optimization, optimization problem, pelican, population-based algorithm, stochastic, swarm intelligence,
- MeSH
- algoritmy * MeSH
- počítačová simulace MeSH
- teoretické modely * MeSH
- Publikační typ
- časopisecké články MeSH
Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced. The main idea in designing the proposed POA is simulation of the natural behavior of pelicans during hunting. In POA, search agents are pelicans that search for food sources. The mathematical model of the POA is presented for use in solving optimization issues. The performance of POA is evaluated on twenty-three objective functions of different unimodal and multimodal types. The optimization results of unimodal functions show the high exploitation ability of POA to approach the optimal solution while the optimization results of multimodal functions indicate the high ability of POA exploration to find the main optimal area of the search space. Moreover, four engineering design issues are employed for estimating the efficacy of the POA in optimizing real-world applications. The findings of POA are compared with eight well-known metaheuristic algorithms to assess its competence in optimization. The simulation results and their analysis show that POA has a better and more competitive performance via striking a proportional balance between exploration and exploitation compared to eight competitor algorithms in providing optimal solutions for optimization problems.
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