optiseek
An open source collection of single-objective optimization algorithms for multi-dimensional functions. (by acdundore)
pycma
Python implementation of CMA-ES (by CMA-ES)
| optiseek | pycma | |
|---|---|---|
| 2 | 4 | |
| 9 | 1,032 | |
| - | 1.7% | |
| 7.8 | 6.8 | |
| 4 months ago | about 1 month ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
optiseek
Posts with mentions or reviews of optiseek.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-10.
pycma
Posts with mentions or reviews of pycma.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-10.
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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?
When comparing optiseek and pycma you can also consider the following projects:
fast-cma-es - A Python 3 gradient-free optimization library
scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Multi-UAV-Task-Assignment-Benchmark - A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem