scikit-opt
pycma
scikit-opt | pycma | |
---|---|---|
1 | 4 | |
4,937 | 1,027 | |
- | 1.3% | |
3.3 | 6.8 | |
6 days ago | 20 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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scikit-opt
pycma
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How to solve Optimization Problem
There is a notebook on how to handle constraints with the pycma package: https://github.com/CMA-ES/pycma/blob/development/notebooks/notebook-usecases-constraints.ipynb
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Optiseek - a collection of single-objective optimization algorithms for multi-dimensional functions with a uniform format
It you want to implement more single objective meta heuristic, you should take a look at CMA-ES
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Code for PI2-CMA Policy Search
If anyone is wondering, I found a CMAES implementation here https://github.com/CMA-ES/pycma
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Metaheurisric : what neighborhood for a vector of real parameters ?
If it's not convex (multimodal, whatever), try an algorithm like CMA-ES for these sorts of problems https://github.com/CMA-ES/pycma. Other alternatives: particle swarm optimization or differential evolution.
What are some alternatives?
zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Multi-UAV-Task-Assignment-Benchmark - A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem
fast-cma-es - A Python 3 gradient-free optimization library
optiseek - An open source collection of single-objective optimization algorithms for multi-dimensional functions.
geneal - A genetic algorithm implementation in python
noisyopt - Python library for optimizing noisy functions.
PSO-cont-sched - Made for a college project, this Java program attempts to demonstrate how PSO might be used to solve container scheduling problems.
pyswarms - A research toolkit for particle swarm optimization in Python
PSOClustering - This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO)