Hybridization of gradient descent algorithms with dynamic tunneling methods for global optimization

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...

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Bibliographic Details
Main Authors: RoyChowdhury, Pinaki, Chansarkar, R. A., Singh, Y. P.
Format: Article
Language:English
Published: IEEE Systems, Man, and Cybernetics Society 2000
Subjects:
QA75.5-76.95 Electronic computers. Computer science
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

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