A metaheuristic algorithm development framework for solving discrete optimization problem
Simulated Annealing optimization algorithm for node.js
Functions to help avoid text annotation/label overlaps
Simple implementation of basic algorithms.
A search and optimization library, focusing on metaheuristics.
Euler Diagrams Drawn with Ellipses Area-Proportionally (Edeap)
Solves the Vehicle Routing Problem
Abstract Simulated Annealing
An interface for global function optimization using simulated annealing
A discrete-event simulation library aimed at high-level use-cases to quickly simulate real-world problems and run simulated experiments. Some example use cases might include simulating logistics or operations research problems, running experiments to determine optimal parameters, simulating queueing systems, distributed systems, performance engineering, and so on.
A modular, mathematically rigorous, performant, reusable simulated annealing optimization engine
A simple optimization library.
Quantum annealing support for the QuantRS2 framework
Ernst: 2D Spin Glass Simulation for quantum annealing
A collection of modern heuristic optimization toolkit
A practical Rust toolkit for heuristic single-, multi-, and many-objective optimization.
Optimization algorithms in Rust — SGD, Adam, L-BFGS, Nelder-Mead, simulated annealing, PSO, conjugate gradient
This library provides a metaheuristic framework for solving combinatorial optimization problems.
A Library of Local Search based Metaheuristics
Cognitively-Inspired Simulated Annealing Teams
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