Transient search optimization: a new meta-heuristic optimization algorithm

This article offers a new physical-based meta-heuristic optimization algorithm, which is named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the transient behavior of switched electrical circuits that include storage elements such as inductance and capacitance. The exp...

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Bibliographic Details
Published in:Applied intelligence (Dordrecht, Netherlands) Vol. 50; no. 11; pp. 3926 - 3941
Main Authors: Qais, Mohammed H., Hasanien, Hany M., Alghuwainem, Saad
Format: Journal Article
Language:English
Published: New York Springer US 01.11.2020
Springer Nature B.V
Subjects:
Algorithms
Artificial Intelligence
Circuits
Coils
Computer Science
Heuristic
Heuristic methods
Inductance
Machines
Manufacturing
Mechanical Engineering
Optimization
Optimization algorithms
Pressure vessels
Processes
Benchmark functions
Optimization methods
Transient search optimization algorithm
ISSN:0924-669X, 1573-7497
Online Access:Get full text
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Summary:This article offers a new physical-based meta-heuristic optimization algorithm, which is named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the transient behavior of switched electrical circuits that include storage elements such as inductance and capacitance. The exploration and exploitation of the TSO algorithm are verified by using twenty-three benchmark, where its statistical (average and standard deviation) results are compared with the most recent 15 optimization algorithms. Furthermore, the non-parametric sign test, p value test, execution time, and convergence curves proved the superiority of the TSO against other algorithms. Also, the TSO algorithm is applied for the optimal design of three well-known constrained engineering problems (coil spring, welded beam, and pressure vessel). In conclusion, the comparison revealed that the TSO is promising and very competitive algorithm for solving different engineering problems.
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ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-020-01727-y