A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results
Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the performance of metaheuristics. However, these SBPs may include various unrealistic properties. As a consequence, performance assessment may lead to underestimation or overestimation. To address this issue, few benchmark suites...
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| Vydané v: | Swarm and evolutionary computation Ročník 67; s. 100961 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier B.V
01.12.2021
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| ISSN: | 2210-6502 |
| On-line prístup: | Získať plný text |
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| Abstract | Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the performance of metaheuristics. However, these SBPs may include various unrealistic properties. As a consequence, performance assessment may lead to underestimation or overestimation. To address this issue, few benchmark suites containing real-world problems have been proposed for all kinds of metaheuristics except for Constrained Multi-objective Metaheuristics (CMOMs). To fill this gap, we develop a benchmark suite of Real-world Constrained Multi-objective Optimization Problems (RWCMOPs) for performance assessment of CMOMs. This benchmark suite includes 50 problems collected from various streams of research. We also present the baseline results of this benchmark suite by using state-of-the-art algorithms. Besides, for comparative analysis, a ranking scheme is also proposed. |
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| AbstractList | Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the performance of metaheuristics. However, these SBPs may include various unrealistic properties. As a consequence, performance assessment may lead to underestimation or overestimation. To address this issue, few benchmark suites containing real-world problems have been proposed for all kinds of metaheuristics except for Constrained Multi-objective Metaheuristics (CMOMs). To fill this gap, we develop a benchmark suite of Real-world Constrained Multi-objective Optimization Problems (RWCMOPs) for performance assessment of CMOMs. This benchmark suite includes 50 problems collected from various streams of research. We also present the baseline results of this benchmark suite by using state-of-the-art algorithms. Besides, for comparative analysis, a ranking scheme is also proposed. |
| ArticleNumber | 100961 |
| Author | Wu, Guohua Suganthan, Ponnuthurai Nagaratnam Luo, Qizhang Mallipeddi, Rammohan Kumar, Abhishek Ali, Mostafa Z. Das, Swagatam |
| Author_xml | – sequence: 1 givenname: Abhishek surname: Kumar fullname: Kumar, Abhishek organization: Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Republic of Korea – sequence: 2 givenname: Guohua surname: Wu fullname: Wu, Guohua organization: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China – sequence: 3 givenname: Mostafa Z. surname: Ali fullname: Ali, Mostafa Z. organization: School of Computer Information Systems, Jordan University of Science & Technology, 22110, Jordan – sequence: 4 givenname: Qizhang surname: Luo fullname: Luo, Qizhang organization: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China – sequence: 5 givenname: Rammohan orcidid: 0000-0001-9071-1145 surname: Mallipeddi fullname: Mallipeddi, Rammohan email: mallipeddi.ram@gmail.com organization: Department of Artificial Intelligence, School of Electronics Engineering, Kyungpook National University, Daegu 41566, Republic of Korea – sequence: 6 givenname: Ponnuthurai Nagaratnam surname: Suganthan fullname: Suganthan, Ponnuthurai Nagaratnam organization: School of Electrical Electronic Engineering, Nanyang Technological University, 639798, Singapore – sequence: 7 givenname: Swagatam surname: Das fullname: Das, Swagatam organization: Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India |
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