Propagation Search Algorithm: A Physics-Based Optimizer for Engineering Applications

For process control in engineering applications, the fewer the coding lines of optimization algorithms, the more applications there are. Therefore, this work develops a new straightforward metaheuristic optimization algorithm named the propagation search algorithm (PSA), stirred by the wave propagat...

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Veröffentlicht in:Mathematics (Basel) Jg. 11; H. 20; S. 4224
Hauptverfasser: Qais, Mohammed H., Hasanien, Hany M., Alghuwainem, Saad, Loo, Ka Hong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.10.2023
Schlagworte:
Algorithms
Behavior
Compression springs
Design engineering
Design optimization
Design parameters
Electric potential
Engineering
engineering optimization
Food
Gravity
Heuristic methods
Mathematical models
Mathematical optimization
metaheuristics
Optimization
Optimization algorithms
Physics
Power lines
Pressure vessels
Process controls
propagation search algorithm
Robustness (mathematics)
Search algorithms
Statistical tests
Transmission lines
Voltage
Wave propagation
ISSN:2227-7390, 2227-7390
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Zusammenfassung:For process control in engineering applications, the fewer the coding lines of optimization algorithms, the more applications there are. Therefore, this work develops a new straightforward metaheuristic optimization algorithm named the propagation search algorithm (PSA), stirred by the wave propagation of the voltage and current along long transmission lines. The mathematical models of the voltage and current are utilized in modeling the PSA, where the voltage and current are the search agents. The propagation constant of the transmission line is the control parameter for the exploitation and exploration of the PSA. After that, the robustness of the PSA is verified using 23 famous testing functions. The statistical tests, comprising mean, standard deviation, and p-values, for 20 independent optimization experiments are utilized to confirm the robustness of the PSA to find the best result and the significant difference between the outcomes of the PSA and those of the compared algorithms. Finally, the proposed PSA is applied to find the optimum design parameters of four engineering design problems, including a three-bar truss, compression spring, pressure vessel, and welded beam. The outcomes show that the PSA converges to the best solutions very quickly, which can be applied to those applications that require a fast response.
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ISSN:2227-7390
2227-7390
DOI:10.3390/math11204224