| nnaisense/evotorch |
941 |
|
0 |
1 |
about 2 years ago |
9 |
November 02, 2023 |
13 |
apache-2.0 |
Python |
| Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE. |
| esa/pagmo2 |
759 |
|
0 |
5 |
over 2 years ago |
24 |
August 23, 2022 |
43 |
gpl-3.0 |
C++ |
| A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. |
| 100/Solid |
518 |
|
0 |
0 |
over 6 years ago |
0 |
|
7 |
mit |
Python |
| 🎯 A comprehensive gradient-free optimization framework written in Python |
| esa/pygmo2 |
329 |
|
11 |
23 |
almost 3 years ago |
25 |
April 10, 2023 |
28 |
mpl-2.0 |
C++ |
| A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. |
| apache/incubator-kie-optaplanner-quickstarts |
307 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
apache-2.0 |
Java |
| OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies. |
| Evolutionary-Intelligence/DistributedEvolutionaryComputation |
84 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
cc0-1.0 |
|
| A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered. |
| pdrm83/py2opt |
27 |
|
0 |
0 |
about 3 years ago |
28 |
January 17, 2023 |
1 |
mit |
Python |
| How to solve the traveling salesman problem with the 2-opt algorithm, a fast heuristic search algorithm. |
| aliasgharheidaricom/Harris-Hawks-Optimization-Algorithm-and-Applications |
25 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
MATLAB |
| Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). |
| IGITUGraz/L2L |
24 |
|
0 |
0 |
over 5 years ago |
0 |
|
15 |
gpl-3.0 |
Python |
| Learning to Learn: Gradient-free Optimization framework |
| selimfirat/ai-n-queens |
22 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Java |
| Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm. |
