evoli
Function Optimizer
An implementation of a genetic algorithm and particle swarm optimization in Go to find the maximum value of a 3D function.
Genetic Algorithm and Particle Swarm Optimization
33 stars
6 watching
10 forks
Language: Go
last commit: about 3 years ago
Linked from 2 awesome lists
evolutionary-algorithmsgenetic-algorithmgogolangparticle-swarm-optimization
Related projects:
Repository | Description | Stars |
---|---|---|
maxhalford/eaopt | An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques. | 888 |
jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
thoj/go-galib | A library that implements a genetic algorithm optimization tool | 199 |
enricoschumann/nmof | Provides implementations of optimization heuristics and other tools for financial analysis and simulation. | 34 |
100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 576 |
matthewpeterkelly/particleswarmoptimization | An optimization algorithm implementation in Matlab. | 82 |
openmole/mgo | A software library for purely functional genetic algorithms with an emphasis on multi-objective optimization and robustness to noisy fitness functions | 71 |
shuai-xie/genetic-algorithm | A Matlab implementation of a genetic algorithm to find optimal solutions to optimization problems | 418 |
ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 51 |
rajatsen91/mftree_det | A framework for optimizing complex functions using a multi-fidelity approach. | 5 |
nnaisense/evotorch | An evolutionary computation library built on top of PyTorch for solving optimization problems in various fields. | 1,016 |
bergel/neat | An implementation of the Neuroevolution through Augmenting Topologies (NEAT) algorithm for evolutionary optimization of neural networks in Pharo. | 16 |
gekkowarez/gekkoga | An optimization tool that uses genetic algorithms to improve trading strategy performance | 311 |
jonfanlab/glonet | A software framework for training neural networks to optimize dielectric metasurfaces using physics-driven generative models and global optimization algorithms. | 101 |
hchasestevens/monkeys | A Python framework for using genetic programming to solve problems and optimize solutions | 122 |