Projects in Awesome Lists tagged with metaheuristic-optimisation
A curated list of projects in awesome lists tagged with metaheuristic-optimisation .
https://github.com/timefoldai/timefold-solver-python
Timefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
employee employee-scheduling maintenance-scheduling metaheuristic-optimisation operational-ai planning-algorithms python resource-allocation-algorithm solver vehicle-routing vrptw
Last synced: 09 Aug 2025
https://github.com/jcrvz/customhys
Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.
continuous-optimization hyperheuristic metaheuristic-algorithms metaheuristic-framework metaheuristic-optimisation metaheuristics population-methods
Last synced: 03 Feb 2026
https://github.com/jigsaw373/evolutionary
A list of optimization algorithms and their sample codes
evolutionary-algorithms metaheuristic-optimisation optimization-algorithms swarm-based-optimization
Last synced: 10 Oct 2025
https://github.com/nisanurbulut/tezrota
Routing problem in heterogeneous fleet is discussed.
csharp metaheuristic-optimisation simulated-annealing tabu-search travelling-salesman-problem vehicle-routing-problem
Last synced: 24 Apr 2025
https://github.com/mgarralda/spark-self-tuning-framework
A Self-Tuning Framework for Cost-Aware Apache Spark Configuration
bayesian-optimization big-data metaheuristic-optimisation spark-tuning transfer-learning
Last synced: 20 May 2026
https://github.com/joozef315/metatsp
An advanced route optimization tool with React that leverages metaheuristic algorithms to solve the Traveling Salesman Problem (TSP). Whether on a grid or a map.
ant-colony-optimization hill-climbing metaheuristic-optimisation react simulated-annealing tsp-problem typescript zustand
Last synced: 20 Apr 2026
https://github.com/gourab337/ocaml-ihho
An OCaml implementation of the paper https://www.researchgate.net/project/Improved-Harris-Hawk-Optimization
feature-selection metaheuristic-optimisation ocaml
Last synced: 11 Apr 2026
https://github.com/jungstershark/p-median-problem
The P-Median Problem project uses metaheuristic optimization to solve the p-median location problem, with Jupyter notebooks implementing random sampling and local search algorithms to minimize service distances.
alogorithms jupyter-notebook local-search metaheuristic metaheuristic-algorithms metaheuristic-optimisation metaheuristics optimization optimization-algorithms optimization-methods p-median p-median-problem python python3 random-sampling
Last synced: 24 Apr 2026
https://github.com/alessandro624/learningparadiseo
A simple repository with lessons and tutorials from ParadisEO
cpp evolutionary-algorithms genetic-algorithm gnuplot make metaheuristic-optimisation mpi openmpi
Last synced: 06 Jun 2026
https://github.com/gokselkucuksahin/project-omega
JavaScript/TypeScript based RESTful data acquisition API. For metaheuristic optimization algorithms.
metaheuristic-optimisation restful-api
Last synced: 17 Mar 2025
https://github.com/blancacc/problema-aprendizaje-pesos
Se pretende optimizar el clasificador K-NN [1] resolviendo el problema al que llamaremos Aprendizaje de pesos en características (APC)
classification machine-learning metaheuristic-algorithms metaheuristic-optimisation
Last synced: 08 Jun 2026
https://github.com/thergh/evolution
Applying evolutionary metaheuristic algorithms to solve Travelling Salesman Problem.
evolutionary-algorithms metaheuristic-algorithms metaheuristic-optimisation travelling-salesman-problem
Last synced: 03 Apr 2025
https://github.com/2gpb/antcolonyoptimization
This repository contains an implementation of the Ant Colony Optimization (ACO) algorithm, a nature-inspired optimization technique used for solving combinatorial problems.
algorithm metaheuristic-optimisation python
Last synced: 07 Aug 2025
https://github.com/moshidev/mh
Resolución del Problema de la Mínima Dispersión Diferencial mediante distintos métodos metaheurísticos en C++
homework-project metaheuristic-optimisation minimum-differential-dispersion-problem
Last synced: 08 Jan 2026
https://github.com/joozef315/tsp-by-metaheuristics
This Python package provides implementations of three metaheuristic algorithms to solve the Traveling Salesman Problem (TSP): Steepest Ascent Hill Climbing, Simulated Annealing, and Ant Colony Optimization.
ant-colony-algorithm hill-climbing-algorithm metaheuristic-optimisation python simulated-annealing tsp-problem
Last synced: 30 May 2026
https://github.com/hochata/supplychains.jl
Supply chain manipulation and optimization
julialang metaheuristic-optimisation supply-chain-management
Last synced: 05 Mar 2026
https://github.com/dineshthapax/travelling-salesman-problem-tsp-using-genetic-algorithm
Travel Salesman Problem Optimization using Genetic Algorithm. Read the Report for complete understanding.
evolutionary-algorithm genetic-algorithm metaheuristic-optimisation modern-optimization nature-inspired-algorithms travelling-salesman-problem tsp-problem
Last synced: 21 Apr 2026