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A New Class Topper Optimization Algorithm with an Application to Data Clustering
In this paper, a new Class Topper Optimization (CTO) algorithm is proposed. The optimization algorithm is inspired from the learning intelligence of students in a class. The algorithm is population based search algorithm. In this approach, solution is converging towards the best solution. This may l...
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| Published in: | IEEE transactions on emerging topics in computing 2020-10, Vol.8 (4), p.948-959 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c341t-2e0f099fe2de799050d96b858c861109f8744d965f3c3ff975ef04c436cac8ec3 |
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| cites | cdi_FETCH-LOGICAL-c341t-2e0f099fe2de799050d96b858c861109f8744d965f3c3ff975ef04c436cac8ec3 |
| container_end_page | 959 |
| container_issue | 4 |
| container_start_page | 948 |
| container_title | IEEE transactions on emerging topics in computing |
| container_volume | 8 |
| creator | Das, Pranesh Das, Dushmanta Kumar Dey, Shouvik |
| description | In this paper, a new Class Topper Optimization (CTO) algorithm is proposed. The optimization algorithm is inspired from the learning intelligence of students in a class. The algorithm is population based search algorithm. In this approach, solution is converging towards the best solution. This may lead to a global best solution. To verify the performance of the algorithm, a clustering problem is considered. Five standard data sets are considered for real time validation. The analysis shows that the proposed algorithm performs very well compared to various well known existing heuristic or meta-heuristic optimization algorithms. |
| doi_str_mv | 10.1109/TETC.2018.2812927 |
| format | article |
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| ispartof | IEEE transactions on emerging topics in computing, 2020-10, Vol.8 (4), p.948-959 |
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| source | IEEE Xplore Open Access Journals |
| subjects | Artificial intelligence Clustering Clustering algorithms Data analysis data analysis and nature inspired optimization Data clustering Heuristic algorithms Heuristic methods learning intelligence Learning systems Machine learning Optimization optimization algorithm Optimization algorithms Search algorithms Standard data Whales |
| title | A New Class Topper Optimization Algorithm with an Application to Data Clustering |
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