A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA)

Many important engineering optimization problems require a strong and simple optimization algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric algorithms, known as Rao algorithms, which have garnered significant attention from researchers worldwide due to their simpl...

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Vydáno v:PeerJ. Computer science Ročník 9; s. e1431
Hlavní autoři: Ghasemi, Mojtaba, Rahimnejad, Abolfazl, Akbari, Ebrahim, Rao, Ravipudi Venkata, Trojovský, Pavel, Trojovská, Eva, Gadsden, Stephen Andrew
Médium: Journal Article
Jazyk:angličtina
Vydáno: San Diego PeerJ. Ltd 04.08.2023
PeerJ, Inc
PeerJ Inc
Témata:
Algorithms
Algorithms and Analysis of Algorithms
Analysis
Artificial Intelligence
Constrained engineering optimization
Design optimization
Effectiveness
Fully Informed Search Algorithm (FISA)
Heuristic
Mathematical optimization
Mechanical systems
Optimization
Optimization algorithms
Optimization techniques
Optimization Theory and Computation
Parameter estimation
Photovoltaic cells
Rao algorithms
Scientific Computing and Simulation
Search algorithms
ISSN:2376-5992, 2376-5992
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Shrnutí:Many important engineering optimization problems require a strong and simple optimization algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric algorithms, known as Rao algorithms, which have garnered significant attention from researchers worldwide due to their simplicity and effectiveness in solving optimization problems. In our simulation studies, we have developed a new version of the Rao algorithm called the Fully Informed Search Algorithm (FISA), which demonstrates acceptable performance in optimizing real-world problems while maintaining the simplicity and non-parametric nature of the original algorithms. We evaluate the effectiveness of the suggested FISA approach by applying it to optimize the shifted benchmark functions, such as those provided in CEC 2005 and CEC 2014, and by using it to design mechanical system components. We compare the results of FISA to those obtained using the original RAO method. The outcomes obtained indicate the efficacy of the proposed new algorithm, FISA, in achieving optimized solutions for the aforementioned problems. The MATLAB Codes of FISA are publicly available at https://github.com/ebrahimakbary/FISA .
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ISSN:2376-5992
2376-5992
DOI:10.7717/peerj-cs.1431