Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method
Many objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector. Various ap...
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University of Baghdad, College of Science for Women
2021-12-01
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| Series: | مجلة بغداد للعلوم |
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| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6649 |
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| author | Rawia Tahrir Mohammed Razali Yaakob Nurfadhlina Mohd Sharef Rusli Abdullah |
| author_facet | Rawia Tahrir Mohammed Razali Yaakob Nurfadhlina Mohd Sharef Rusli Abdullah |
| author_sort | Rawia Tahrir Mohammed |
| collection | DOAJ |
| description | Many objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector. Various approaches of MaOO algorithms are available and employed to handle different MaOP cases. In contrast, the performance of the MaOO algorithms assesses based on the balance between the convergence and diversity of the non-dominated solutions measured using different evaluation criteria of the quality performance indicators. Although many evaluation criteria are available, yet most of the evaluation and benchmarking of the MaOO with state-of-art algorithms perform using one or two performance indicators without clear evidence or justification of the efficiency of these indicators over others. Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. The study followed a systematic procedure to analyze 49 evaluation criteria, sub-criteria, and its performance indicators, a penal of 23 domain experts, participated in this study. Lastly, the most suitable criteria outcomes are formulated in the unifying model and evaluate by experts to verify the appropriateness and suitability of the model in assessing the MaOO algorithms fairly and effectively. |
| format | Article |
| id | doaj-art-78fb249fee4b45599934b37bcef53b2c |
| institution | Kabale University |
| issn | 2078-8665 2411-7986 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | University of Baghdad, College of Science for Women |
| record_format | Article |
| series | مجلة بغداد للعلوم |
| spelling | doaj-art-78fb249fee4b45599934b37bcef53b2c2025-08-20T03:33:50ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862021-12-01184(Suppl.)10.21123/bsj.2021.18.4(Suppl.).1423Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi MethodRawia Tahrir Mohammed0Razali Yaakob1Nurfadhlina Mohd Sharef2Rusli Abdullah3Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia & Geomatika University College, Kuala Lumpur, MalaysiaFaculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaFaculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaFaculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaMany objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector. Various approaches of MaOO algorithms are available and employed to handle different MaOP cases. In contrast, the performance of the MaOO algorithms assesses based on the balance between the convergence and diversity of the non-dominated solutions measured using different evaluation criteria of the quality performance indicators. Although many evaluation criteria are available, yet most of the evaluation and benchmarking of the MaOO with state-of-art algorithms perform using one or two performance indicators without clear evidence or justification of the efficiency of these indicators over others. Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. The study followed a systematic procedure to analyze 49 evaluation criteria, sub-criteria, and its performance indicators, a penal of 23 domain experts, participated in this study. Lastly, the most suitable criteria outcomes are formulated in the unifying model and evaluate by experts to verify the appropriateness and suitability of the model in assessing the MaOO algorithms fairly and effectively.https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6649Evaluation Criteria, Fuzzy Delphi, Many Objectives Optimization, Unifying Model |
| spellingShingle | Rawia Tahrir Mohammed Razali Yaakob Nurfadhlina Mohd Sharef Rusli Abdullah Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method مجلة بغداد للعلوم Evaluation Criteria, Fuzzy Delphi, Many Objectives Optimization, Unifying Model |
| title | Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method |
| title_full | Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method |
| title_fullStr | Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method |
| title_full_unstemmed | Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method |
| title_short | Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method |
| title_sort | unifying the evaluation criteria of many objectives optimization using fuzzy delphi method |
| topic | Evaluation Criteria, Fuzzy Delphi, Many Objectives Optimization, Unifying Model |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6649 |
| work_keys_str_mv | AT rawiatahrirmohammed unifyingtheevaluationcriteriaofmanyobjectivesoptimizationusingfuzzydelphimethod AT razaliyaakob unifyingtheevaluationcriteriaofmanyobjectivesoptimizationusingfuzzydelphimethod AT nurfadhlinamohdsharef unifyingtheevaluationcriteriaofmanyobjectivesoptimizationusingfuzzydelphimethod AT rusliabdullah unifyingtheevaluationcriteriaofmanyobjectivesoptimizationusingfuzzydelphimethod |