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GitHub / Shahul-Rahman / SPGD-Search-Party-Gradient-Descent-algorithm

SPGD: Search Party Gradient Descent algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization. Link: https://www.mdpi.com/2227-7390/10/5/800

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shahul-Rahman%2FSPGD-Search-Party-Gradient-Descent-algorithm

Stars: 7
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 21.5 KB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: almost 2 years ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: bio-inspired-optimization, blackbox-optimization, metaheuristics, multi-armed-bandits, nature-inspired-algorithms, optimization, optimization-algorithms, optimization-methods, python, python-optimization, reinforcement-learning

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