Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization
An algorithm based on gradient descent techniques with dynamic tunneling methods for global optimization is proposed. The proposed algorithm consists of gradient descent fur local search and a direct search scheme, based on dynamic tunneling technique, for repelling away from local minimum to find t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE Systems, Man, and Cybernetics Society
2000
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2714/ http://shdl.mmu.edu.my/2714/1/Hybridization%20of%20gradient%20descent%20algorithms%20with%20dynamic%20tunneling%20methods%20for%20global%20optimization.pdf |
| _version_ | 1848790131053428736 |
|---|---|
| author | RoyChowdhury, Pinaki Chansarkar, R. A. Singh, Y. P. |
| author_facet | RoyChowdhury, Pinaki Chansarkar, R. A. Singh, Y. P. |
| author_sort | RoyChowdhury, Pinaki |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | An algorithm based on gradient descent techniques with dynamic tunneling methods for global optimization is proposed. The proposed algorithm consists of gradient descent fur local search and a direct search scheme, based on dynamic tunneling technique, for repelling away from local minimum to find the point of next local descent. This search process applied repeatedly finds the global minimum of an objective function. The convergence properties of the proposed algorithm is validated experimentally on benchmark problems. A comparative computational results confirm the importance of dynamic tunneling in gradient descent techniques. |
| first_indexed | 2025-11-14T18:07:44Z |
| format | Article |
| id | mmu-2714 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:07:44Z |
| publishDate | 2000 |
| publisher | IEEE Systems, Man, and Cybernetics Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-27142013-10-29T07:39:55Z http://shdl.mmu.edu.my/2714/ Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization RoyChowdhury, Pinaki Chansarkar, R. A. Singh, Y. P. QA75.5-76.95 Electronic computers. Computer science An algorithm based on gradient descent techniques with dynamic tunneling methods for global optimization is proposed. The proposed algorithm consists of gradient descent fur local search and a direct search scheme, based on dynamic tunneling technique, for repelling away from local minimum to find the point of next local descent. This search process applied repeatedly finds the global minimum of an objective function. The convergence properties of the proposed algorithm is validated experimentally on benchmark problems. A comparative computational results confirm the importance of dynamic tunneling in gradient descent techniques. IEEE Systems, Man, and Cybernetics Society 2000-05 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2714/1/Hybridization%20of%20gradient%20descent%20algorithms%20with%20dynamic%20tunneling%20methods%20for%20global%20optimization.pdf RoyChowdhury, Pinaki and Chansarkar, R. A. and Singh, Y. P. (2000) Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 30 (3). pp. 384-390. ISSN 1083-4427 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=844362 10.1109/3468.844362 10.1109/3468.844362 10.1109/3468.844362 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science RoyChowdhury, Pinaki Chansarkar, R. A. Singh, Y. P. Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| title | Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| title_full | Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| title_fullStr | Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| title_full_unstemmed | Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| title_short | Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| title_sort | hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2714/ http://shdl.mmu.edu.my/2714/ http://shdl.mmu.edu.my/2714/ http://shdl.mmu.edu.my/2714/1/Hybridization%20of%20gradient%20descent%20algorithms%20with%20dynamic%20tunneling%20methods%20for%20global%20optimization.pdf |