TITLE
THE TOPSIS METHOD FOR EXPERIMENTAL COMPARISON OF MULTIPLE METAHEURISTIC ALGORITHMS OVER A SET OF PROBLEMS: A CASE STUDY OF THE MULTI-CASE CEED PROBLEM
AUTHOR(S)
Sanela Arsić1, Milena Gajić1* and Miroljub Jevtić2
ABSTRACT
In recent years, there has been a growing interest in developing new metaheuristic algorithms for optimizing multiple-problems. Due to the stochastic nature of algorithms, their solutions and behaviors are different for different single-problems contained in one multiple-problem. Therefore, in many cases, it is difficult to choose the best algorithm that will solve a specific multiple-problem. This paper uses the multi-criteria decision-making (MCDM) method to rank the proposed algorithms for solving concrete multiple-problem. We take the multi-case Combined economic emission (CEED) problem as a case study. Specifically, we rank five proposed algorithms according to different performance measures using the TOPSIS method to solve four CEED problem cases. Additionally, the obtained results were validated using the EDAS method, confirming the final rank of the analyzed algorithms.
DOI
http://www.doi.org/10.70456/MEYD5128
DOWNLOAD
https://unitechsp.tugab.bg/images/2024/4-CST/s4_p117_v1.pdf
How to cite this article:
Sanela Arsić, Milena Gajić and Miroljub Jevtić, THE TOPSIS METHOD FOR EXPERIMENTAL COMPARISON OF MULTIPLE METAHEURISTIC ALGORITHMS OVER A SET OF PROBLEMS: A CASE STUDY OF THE MULTI-CASE CEED PROBLEM, UNITECH – SELECTED PAPERS - 2024