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Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
hyperactive
nelder-mead
optimization
hill-climbing
random-search
meta-heuristic
machine-learning
simulated-annealing
evolution-strategies
bayesian-optimization
blackbox-optimization
constrained-optimization
tree-of-parzen-estimator
gradient-free-optimization
hyperparameter-optimization
particle-swarm-optimization
Created
2020-04-04
937 commits to master branch, last one 14 days ago
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Created
2017-11-01
821 commits to main branch, last one 4 months ago
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
island-model
optimization
meta-heuristic
meta-heuristics
parallel-computing
parallel-processing
optimization-methods
optimization-problem
evolutionary-strategy
artificial-intelligence
evolutionary-algorithms
optimization-algorithms
stochastic-optimization
evolutionary-computation
multiobjective-optimization
Created
2020-01-07
607 commits to master branch, last one 4 months ago
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
optimization
meta-heuristic
metaheuristics
genetic-algorithm
optimization-tools
global-optimization
integer-programming
optimization-methods
discrete-optimization
stochastic-optimizers
black-box-optimization
constraint-programming
differential-evolution
evolutionary-algorithms
optimization-algorithms
mathematical-programming
mathematical-optimization
mixed-integer-programming
hyperparameter-optimization
global-optimization-algorithms
Created
2016-07-13
409 commits to master branch, last one 4 months ago
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
pytorch
meta-heuristic
neural-network
routing-problem
knapsack-problem
scheduling-problem
bin-packing-problem
graph-neural-networks
reinforcement-learning
ant-colony-optimization
vehicle-routing-problem
combinatorial-optimization
traveling-salesman-problem
deep-reinforcement-learning
neural-combinatorial-optimization
capacitated-vehicle-routing-problem
Created
2023-02-06
120 commits to main branch, last one 2 months ago
A Python implementation of the Ant Colony Optimization Meta-Heuristic
Created
2014-02-10
335 commits to master branch, last one 2 years ago