The application of modern meta-heuristic algorithms for solving complex optimization problems
Department of Admission and Training, Ly Tu Trong College, Ho Chi Minh city, Vietnam.
Research Article
International Journal of Scholarly Research in Engineering and Technology, 2023, 02(01), 065–075.
Article DOI: 10.56781/ijsret.2023.2.1.0021
Publication history:
Received on 09 February 2023; revised on 22 March 2023; accepted on 24 March 2023
Abstract:
This paper applies two new meta-heuristic algorithms proposed in 2022 for solving different optimization problems, including the driving training-based algorithm (DTBA) and the average and subtract-based algorithm (ASBA). The considered optimization problems employed in this paper are characterized by different quantities of the dimensions and different involved constraints at various degrees of complexity. The results obtained by the two algorithms are illustrated by three types of convergences, including the minimum, average, and maximum convergences. By analyzing the results obtained by the two applied methods on four different optimization algorithms, DTBA proved itself to be the better applied method over ASBA. Particularly, DTBA has reached the optimal fitness value much faster than ASBA, regardless of how complicated the optimization problem is. From these analyses, DTBA is acknowledged to be the effective algorithm for dealing with the considered optimization problems.
Keywords:
Optimization problem; Meta-heuristic algorithms; Driving training-based algorithm; Average and subtract based optimization
Full text article in PDF:
Copyright information:
Copyright © 2023Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0