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GitHub / nagarx / Optimizing_Non_Convex_Functions_using_Particle_Swarm_Optimizer

A cutting-edge implementation of Particle Swarm Optimization (PSO) tailored for navigating and optimizing complex non-convex functions. This project encapsulates an advanced algorithmic approach, leveraging swarm intelligence to efficiently converge on global minima in multimodal landscapes.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nagarx%2FOptimizing_Non_Convex_Functions_using_Particle_Swarm_Optimizer

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 11.3 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 1 year ago

Commit Stats

Commits: 4
Authors: 1
Mean commits per author: 4.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/nagarx/Optimizing_Non_Convex_Functions_using_Particle_Swarm_Optimizer

Topics: machine-learning, non-convex-optimization, optimization-algorithms, particle-swarm-optimization, python, scientific-computing

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