Swarm-intelligence-optimization-algorithm
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正余弦优化算法(Sine Cosine Algorithm, CSA）、烟花算法(Fireworks Algorithm, FA) (by LucXiong)
pyswarms
A research toolkit for particle swarm optimization in Python (by ljvmiranda921)
| Swarm-intelligence-optimization-algorithm | pyswarms | |
|---|---|---|
| 1 | 1 | |
| 258 | 1,233 | |
| - | - | |
| 3.6 | 1.3 | |
| 11 months ago | 2 months ago | |
| Python | Python | |
| - | MIT License |
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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.
Swarm-intelligence-optimization-algorithm
Posts with mentions or reviews of Swarm-intelligence-optimization-algorithm.
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pyswarms
Posts with mentions or reviews of pyswarms.
We have used some of these posts to build our list of alternatives
and similar projects.
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Pyswams Library
Hello I'm trying to use this library: pyswarms and it works fine with the base code that they give
What are some alternatives?
When comparing Swarm-intelligence-optimization-algorithm and pyswarms you can also consider the following projects:
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)
vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.