dwave-neal
Optimization algorithm
An implementation of a simulated annealing algorithm for approximate Boltzmann sampling or heuristic optimization.
An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.
51 stars
10 watching
45 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides an API for sampling quadratic and higher-order models used in optimization algorithms | 124 |
| Provides a minimal Python interface to interact with D-Wave Systems' quantum annealing resources | 59 |
| A library for mapping constraints to low-dimensional optimization problems | 19 |
| Constructs a binary quadratic model from a constraint satisfaction problem with small constraints over binary variables | 21 |
| A collection of algorithms for generating native-structured embeddings in D-Wave's quantum annealing software. | 28 |
| An API that simplifies the use of the D-Wave quantum computing system in software applications. | 90 |
| Tools and algorithms for working with quantum networks and graph theory on D-Wave quantum computers | 89 |
| A comprehensive collection of optimization algorithms implemented in MATLAB | 185 |
| A Python-based service for optimizing complex objective functions | 1,494 |
| A Python-based package for solving optimization problems in power systems | 135 |
| An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
| A Python-based toolbox for designing and optimizing wave energy converters with constrained optimal control | 14 |
| A comprehensive Java library of local search algorithms with customization and hybridization capabilities | 60 |
| An implementation of dynamic programming algorithms and value iteration methods for optimization problems in various fields | 6 |
| A collection of stochastic optimization algorithms for large-scale machine learning problems | 221 |