Domain-agnostic metaheuristic optimization framework: GA, BRKGA, SA, ALNS.

Metaheuristic algorithms for JavaScript

A metaheuristic algorithm development framework for solving discrete optimization problem

Advanced metaheuristic optimization algorithm platform.

Domain-agnostic scheduling framework: job-shop models, dispatching rules, GA encoding, constraint programming.

3D Bin Packing Library - Optimize container, pallet, and truck loading

A search and optimization library, focusing on metaheuristics.

Focus: Complex Resource Allocation (Simulated Annealing Heuristic)

This package provides a set of utilities to optimize the ordering of entries in a linear menu (e.g one-level menu).

Genetic and evolutionary algorithms framework for the web

AEGIS — Autonomous dual-engine optimizer with cross-pollination. The engine that discovered the Unified Field Equation. Zero-config optimization for any objective function.

A Genetic Algorithm

Generic, unopinionated Simulated Annealing library for constraint satisfaction problems. Solve timetabling, scheduling, resource allocation, and any optimization problem with custom constraints.

This package provides a framework for building applications where genetic algorithm (GA) is used for solving optimization problems based on a natural selection process that mimics biological evolution.

Generic simulated annealing optimizer — sync, iterator, and async modes with pluggable cooling schedules

A TypeScript library for balanced N×M partitioning with multiple algorithmic strategies

This package helps to solve mathematical expressions with maximum three variables, using a genetic algorithm framework.

Genetic and evolutionary algorithms framework for the web

A fully featured Fireworks Algorithm (FWA) optimization library in TypeScript