Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm
In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm’s search. This research aims to find the optimal parameter values for the Pareto Ant Colony System (PACS) algorithm, which is used to obtain solutions for the generator maintenance scheduling problem. For optim...
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my.uum.repo.293992023-04-19T01:39:46Z https://repo.uum.edu.my/id/eprint/29399/ Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm Muthana, Shatha Abdulhadi Ku Mahamud, Ku Ruhana QA75 Electronic computers. Computer science In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm’s search. This research aims to find the optimal parameter values for the Pareto Ant Colony System (PACS) algorithm, which is used to obtain solutions for the generator maintenance scheduling problem. For optimal maintenance scheduling with low cost, high reliability, and low violation, the parameter values of the PACS algorithm were tuned using the Taguchi and Gray Relational Analysis (Taguchi-GRA) method through search-based approach. The new parameter values were tested on two systems. i.e., 26- and 36-unit systems for window with operational hours [3000-5000]. The gray relational grade (GRG) performance metric and the Friedman test were used to evaluate the algorithm’s performance. The Taguchi-GRA method that produced the new values for the algorithm’s parameters was shown to be able to provide a better multi-objective generator maintenance scheduling (GMS) solution. These values can be benchmarked in solving multi-objective GMS problems using the multi-objective PACS algorithm and its variants. Universiti Utara Malaysia Press 2023 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/29399/1/JICT%2022%2002%202023%20149-181.pdf Muthana, Shatha Abdulhadi and Ku Mahamud, Ku Ruhana (2023) Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm. Journal of Information and Communication Technology, 22 (2). pp. 149-181. ISSN 2180-3862 https://doi.org/10.32890/jict2023.22.2.1 |
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QA75 Electronic computers. Computer science Muthana, Shatha Abdulhadi Ku Mahamud, Ku Ruhana Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm |
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In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm’s search. This research aims to find the optimal parameter values for the Pareto Ant Colony System (PACS) algorithm, which is used to obtain solutions for the generator maintenance scheduling problem. For optimal maintenance scheduling with low cost, high reliability, and low violation, the parameter values of the PACS algorithm were tuned using the Taguchi and Gray Relational Analysis (Taguchi-GRA) method through search-based approach. The new parameter values were tested on two systems. i.e., 26- and 36-unit systems for window with operational hours [3000-5000]. The gray relational grade (GRG) performance metric and the Friedman test were used to evaluate the algorithm’s performance. The Taguchi-GRA method that produced the new values for the algorithm’s parameters was shown to be able to provide a better multi-objective generator maintenance scheduling (GMS) solution. These values can be benchmarked in solving multi-objective GMS problems using the multi-objective PACS algorithm and its variants. |
format |
Article |
author |
Muthana, Shatha Abdulhadi Ku Mahamud, Ku Ruhana |
author_facet |
Muthana, Shatha Abdulhadi Ku Mahamud, Ku Ruhana |
author_sort |
Muthana, Shatha Abdulhadi |
title |
Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm |
title_short |
Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm |
title_full |
Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm |
title_fullStr |
Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm |
title_full_unstemmed |
Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm |
title_sort |
taguchi-grey relational analysis method for parameter tuning of multi-objective pareto ant colony system algorithm |
publisher |
Universiti Utara Malaysia Press |
publishDate |
2023 |
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https://repo.uum.edu.my/id/eprint/29399/1/JICT%2022%2002%202023%20149-181.pdf https://repo.uum.edu.my/id/eprint/29399/ https://doi.org/10.32890/jict2023.22.2.1 |
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