Common benchmark functions for metaheuristic evaluation: a review
In literature, benchmark test functions have been used for evaluating performance of metaheuristic algorithms. Algorithms that perform well on a set of numerical optimization problems are considered as effective methods for solving real-world problems. Different researchers choose different set of f...
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| Format: | Article |
| Language: | en |
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JOIV
2017
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| Online Access: | http://eprints.uthm.edu.my/4825/1/AJ%202017%20%28665%29.pdf http://eprints.uthm.edu.my/4825/ https://dx.doi.org/10.30630/joiv.1.4-2.65 |
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| author | Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Naseem, Rashid |
| author_facet | Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Naseem, Rashid |
| author_sort | Hussain, Kashif |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In literature, benchmark test functions have been used for evaluating performance of metaheuristic algorithms. Algorithms that perform well on a set of numerical optimization problems are considered as effective methods for solving real-world problems. Different researchers choose different set of functions with varying configurations, as there exists no standard or universally agreed test-bed. This makes hard for researchers to select functions that can truly gauge the robustness of a metaheuristic algorithm which is being proposed. This review paper is an attempt to provide researchers with commonly used experimental settings, including selection of test functions with different modalities, dimensions, the number of experimental runs, and evaluation criteria. Hence, the proposed list of functions, based on existing literature, can be handily employed as an effective test-bed for evaluating either a new or modified variant of any existing metaheuristic algorithm. For embedding more complexity in the problems, these functions can be shifted or rotated for enhanced robustness. |
| format | Article |
| id | my.uthm.eprints-4825 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2017 |
| publisher | JOIV |
| record_format | eprints |
| spelling | my.uthm.eprints-48252021-12-20T04:16:25Z http://eprints.uthm.edu.my/4825/ Common benchmark functions for metaheuristic evaluation: a review Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Naseem, Rashid QA76 Computer software T Technology (General) In literature, benchmark test functions have been used for evaluating performance of metaheuristic algorithms. Algorithms that perform well on a set of numerical optimization problems are considered as effective methods for solving real-world problems. Different researchers choose different set of functions with varying configurations, as there exists no standard or universally agreed test-bed. This makes hard for researchers to select functions that can truly gauge the robustness of a metaheuristic algorithm which is being proposed. This review paper is an attempt to provide researchers with commonly used experimental settings, including selection of test functions with different modalities, dimensions, the number of experimental runs, and evaluation criteria. Hence, the proposed list of functions, based on existing literature, can be handily employed as an effective test-bed for evaluating either a new or modified variant of any existing metaheuristic algorithm. For embedding more complexity in the problems, these functions can be shifted or rotated for enhanced robustness. JOIV 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/4825/1/AJ%202017%20%28665%29.pdf Hussain, Kashif and Mohd Salleh, Mohd Najib and Shi, Cheng and Naseem, Rashid (2017) Common benchmark functions for metaheuristic evaluation: a review. International Journal on Informatics Visualization, 1 (4-2). pp. 218-223. ISSN 2549-9610 https://dx.doi.org/10.30630/joiv.1.4-2.65 |
| spellingShingle | QA76 Computer software T Technology (General) Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Naseem, Rashid Common benchmark functions for metaheuristic evaluation: a review |
| title | Common benchmark functions for metaheuristic evaluation: a review |
| title_full | Common benchmark functions for metaheuristic evaluation: a review |
| title_fullStr | Common benchmark functions for metaheuristic evaluation: a review |
| title_full_unstemmed | Common benchmark functions for metaheuristic evaluation: a review |
| title_short | Common benchmark functions for metaheuristic evaluation: a review |
| title_sort | common benchmark functions for metaheuristic evaluation: a review |
| topic | QA76 Computer software T Technology (General) |
| url | http://eprints.uthm.edu.my/4825/1/AJ%202017%20%28665%29.pdf http://eprints.uthm.edu.my/4825/ https://dx.doi.org/10.30630/joiv.1.4-2.65 |
| url_provider | http://eprints.uthm.edu.my/ |