Research index
Opytimizer: A Nature-Inspired Python Optimizer
De Rosa, Rodrigues, Papa
Zenodo (CERN European Organization for Nuclear Research)30 Dec 2019Open access
NobleIDark:/48914/w1/20260525/DD73CB72DOI10.5281/zenodo.4290913
Opytimizer: A Nature-Inspired Python Optimizer
De Rosa, Rodrigues, Papa · Zenodo (CERN European Organization for Nuclear Research) · 2019
NobleIDark:/48914/w1/20260525/DD73CB72DOI10.5281/zenodo.4290913
Abstract
Opytimizer: A Nature-Inspired Python Optimizer Welcome to Opytimizer. Did you ever reach a bottleneck in your computational experiments? Are you tired of selecting suitable parameters for a chosen technique? If yes, Opytimizer is the real deal! This package provides an easy-to-go implementation of meta-heuristic optimizations. From agents to search space, from internal functions to external communication, we will foster all research related to optimizing stuff. Use Opytimizer if you need a library or wish to: Create your optimization algorithm; Design or use pre-loaded optimization tasks; Mix-and-match different strategies to solve your problem; Because it is fun to optimize things. Read the docs at opytimizer.readthedocs.io. Opytimizer is compatible with: Python 3.6+ .