Benchmarking RCGAu on the Noiseless BBOB Testbed
RCGAu is a hybrid real-coded genetic algorithm with “uniform random direction” search mechanism. The uniform random direction search mechanism enhances the local search capability of RCGA. In this paper, RCGAu was tested on the BBOB-2013 noiseless testbed using restarts till a maximum number of func...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/734957 |
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| author | Babatunde A. Sawyerr Aderemi O. Adewumi M. Montaz Ali |
| author_facet | Babatunde A. Sawyerr Aderemi O. Adewumi M. Montaz Ali |
| author_sort | Babatunde A. Sawyerr |
| collection | DOAJ |
| description | RCGAu is a hybrid real-coded genetic algorithm with “uniform random direction” search mechanism. The uniform random direction search mechanism enhances the local search capability of RCGA. In this paper, RCGAu was tested on the BBOB-2013 noiseless testbed using restarts till a maximum number of function evaluations (#FEs) of 105 × D are reached, where D is the dimension of the function search space. RCGAu was able to solve several test functions in the low search dimensions of 2 and 3 to the desired accuracy of 108. Although RCGAu found it difficult in getting a solution with the desired accuracy 108 for high conditioning and multimodal functions within the specified maximum #FEs, it was able to solve most of the test functions with dimensions up to 40 with lower precisions. |
| format | Article |
| id | doaj-art-c50fafe93f90412e9bdd06f8c7c0876e |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-c50fafe93f90412e9bdd06f8c7c0876e2025-08-20T02:18:46ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/734957734957Benchmarking RCGAu on the Noiseless BBOB TestbedBabatunde A. Sawyerr0Aderemi O. Adewumi1M. Montaz Ali2School of Mathematics, Statistics and Computer Science, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Westville, South AfricaSchool of Mathematics, Statistics and Computer Science, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Westville, South AfricaSchool of Computational and Applied Mathematics, Faculty of Science and TCSE, Faculty of Engineering and Built Environment, University of the Witwatersrand, Johannesburg, South AfricaRCGAu is a hybrid real-coded genetic algorithm with “uniform random direction” search mechanism. The uniform random direction search mechanism enhances the local search capability of RCGA. In this paper, RCGAu was tested on the BBOB-2013 noiseless testbed using restarts till a maximum number of function evaluations (#FEs) of 105 × D are reached, where D is the dimension of the function search space. RCGAu was able to solve several test functions in the low search dimensions of 2 and 3 to the desired accuracy of 108. Although RCGAu found it difficult in getting a solution with the desired accuracy 108 for high conditioning and multimodal functions within the specified maximum #FEs, it was able to solve most of the test functions with dimensions up to 40 with lower precisions.http://dx.doi.org/10.1155/2015/734957 |
| spellingShingle | Babatunde A. Sawyerr Aderemi O. Adewumi M. Montaz Ali Benchmarking RCGAu on the Noiseless BBOB Testbed The Scientific World Journal |
| title | Benchmarking RCGAu on the Noiseless BBOB Testbed |
| title_full | Benchmarking RCGAu on the Noiseless BBOB Testbed |
| title_fullStr | Benchmarking RCGAu on the Noiseless BBOB Testbed |
| title_full_unstemmed | Benchmarking RCGAu on the Noiseless BBOB Testbed |
| title_short | Benchmarking RCGAu on the Noiseless BBOB Testbed |
| title_sort | benchmarking rcgau on the noiseless bbob testbed |
| url | http://dx.doi.org/10.1155/2015/734957 |
| work_keys_str_mv | AT babatundeasawyerr benchmarkingrcgauonthenoiselessbbobtestbed AT aderemioadewumi benchmarkingrcgauonthenoiselessbbobtestbed AT mmontazali benchmarkingrcgauonthenoiselessbbobtestbed |