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Search results for metaheuristics
metaheuristics
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120 search results found
Incubator Kie Optaplanner
⭐
3,241
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Pyswarms
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1,154
A research toolkit for particle swarm optimization in Python
Gradient Free Optimizers
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1,072
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Jenetics
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806
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
Pagmo2
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759
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Eaopt
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721
🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Mealpy
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638
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Opytimizer
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584
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Timefold Solver
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556
The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
Solid
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518
🎯 A comprehensive gradient-free optimization framework written in Python
Jmetal
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484
jMetal: a framework for multi-objective optimization with metaheuristics
Jmetalpy
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457
A framework for single/multi-objective optimization with metaheuristics
Evolopy
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331
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Pygmo2
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329
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Alns
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297
Adaptive large neighbourhood search (and more!) in Python.
Optapy
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238
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
Metaheuristics.jl
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231
High-performance metaheuristics for optimization coded purely in Julia.
Pypop
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148
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Biteopt
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118
Derivative-Free Global Optimization Method (C++, Python binding)
Pyvrp
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113
Open-source, state-of-the-art VRP solver in an easy-to-use Python package.
Nonconvex.jl
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100
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Evox
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98
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Acopy
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84
A Python implementation of the Ant Colony Optimization Meta-Heuristic
Paradiseo
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74
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Deepaco
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68
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Optframe
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64
OptFrame - Optimization Framework
Hive
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59
Artificial Bee Colony Algorithm in Python.
Chips N Salsa
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48
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Freelunch
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46
Meta-heuristic optimisation suite for python
Ecr2
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38
ecr: Evolutionary Computation in R (version 2)
Jmetalcpp
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38
A C++ version of jMetal, a Java framework aimed at multi-objective optimization with metaheuristics.
Adaptive Large Neighbourhood Search
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37
ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
Filo
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35
A Fast Iterated-Local-Search Localized Optimization algorithm for the CVRP.
Moe
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34
Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms
Stock Market Prediction Using Neural Networks And Genetic Algorithm
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33
Matlab Module for Stock Market Prediction using Simple NN
Printemps
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31
C++ metaheuristics modeler/solver for general integer optimization problems.
Heurisko
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30
C++ platform to perform parallel computations of continuous and combinatorial optimization tasks via metaheuristics.
Swap
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30
A Solver for the Wavelength Assignment Problem (RWA) in WDM networks
Optimal
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27
A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
Harris Hawks Optimization Algorithm And Applications
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25
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/ In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
Mhlib.jl
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25
MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia
Dnn_opt
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24
dnn_opt is a machine learning library to perform optimization and neural network training by using meta-heuristics with multi-core and GPU support
Opt4j
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23
Modular Java framework for meta-heuristic optimization
Ypea
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23
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
Metagen
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23
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning
Rmoo
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23
An R package for multi/many-objective optimization with non-dominated genetic algorithms' family
Metaheuristic Training Networks
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21
An implementation of various metaheuristics adapted to train neural networks
Geneticsjs
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21
Evolutionary algorithms library for the web 🧬
Metaheuristics
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21
Implementation of a group of metaheuristics in C#
Mop
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20
Flexible and modular framework for different NP-Problems with different solvers
Coa
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19
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
James
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19
A JAva MEtaheuristics Search framework
Genalgo.js
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17
Genetic and evolutionary algorithms in Javascript.
Customhys
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17
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.
Antcolonyoptimization Tsp
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16
An Ant Colony Optimization algorithm for the Traveling Salesman Problem
Ascension
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15
A metaheuristic optimization framework
Tsp Solver
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15
metaheuristics for traveling salesman problem (TSP)
Msearch
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15
A C# Library to aid programming for meta-heuristics
Qbso Fs
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15
Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
Metaheuristics
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15
Metaheuristic algorithms for Clojure
Moptipy
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14
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
Tsppddl
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14
The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits
Pareto Optimal Student Supervisor Allocation
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14
🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.
Eacirc
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13
Automatic problem solver based on circuit-like representation and genetic programming
Pymhlib
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13
pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods
Autoopt
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12
A library for automatically designing metaheuristic optimizers.
Spawning Pool
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12
A framework for genetic algorithms in Scala
Swarm_algorithms
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12
Implementation of different swarm intelligence algorithms
Cboglobalconvergenceanalysis
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11
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
Two Step Feature Enhancement
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11
Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science
Metaheuristics Nature Rs
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11
A collection of nature-inspired metaheuristic algorithms.
Formigueiro
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11
A python Framework for Simple Ant Colony Optimization Algorithms
Timefold Solver Enterprise
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11
Timefold's commercial offering, enhancing Timefold Solver Community Edition with additional features. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
Amazing Collection Vehicle Routing Problem
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10
Amazing Collection Vehicle Routing Problem
Mmkp_heuristics
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10
Various implementations of population based metaheuristics to solve hard multiple-choice multidimensional knapsack problems.
Swim
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10
Synthesis with Metaheuristics - Genetic Programming in Scala
References
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10
Repository of shared bibtex files (references)
Seage
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9
SEAGE (Search Agents) is a hyper-heuristic framework for metaheuristic collaboration.
Simulated Annealing For Tsp
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9
This code is to solve traveling salesman problem by using simulated annealing meta heuristic.
Differential Evolution
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9
A multi-processing, highly configurable, C++ Differential Evolution optimization algorithm implementation
Wrapper Feature Selection Toolbox
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9
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
Bilevelheuristics.jl
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9
Metaheuristics for solving bilevel optimization problems.
Pyoptframe Dev
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8
Python bindings for OptFrame C++ Functional Core
Optmarket Bittrex
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8
OptMarket is a c++ framework initially designed for interacting with Bittrex crypto-currency exchange API.
Lahc
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8
Implementation of Late Acceptance Hill Climbing (lahc) algorithm
Localsearch
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8
Rust library for local search optimization
Multidimensional_knapsack_problem
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8
A repository made to host something like a tiny framework to apply heuristics and metaheuristics to the multidimensional knapsack problem for a college exercise.
Tsp_3opt_2opt
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8
Travelling salesman problem with 3opt move and 2opt perturbation
Summary
⭐
8
Summary of my Repositories with Hyperlinks. Lessons and Colab Demos are also included. SEMENDE 2023 (AI Talk) https://bit.ly/46UwTnD
Oa
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8
A book on optimization algorithms.
Spgd Search Party Gradient Descent Algorithm
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7
SPGD: Search Party Gradient Descent algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization. Link: https://www.mdpi.com/2227-7390/10/5/800
Nlns_vnd.jl
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7
NLNS+VND Metaheuristic Algorithm for solving Combinatorial Optimization Problems
Metaheuristics
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7
Comparison of metaheuristics for the characteristic selection problem.
Metaheuristics Template Library
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7
Metaheuristic Library / supporting Generic Algorithm, Neural Network, and Simulated Annealing.
Duelist Algorithm Python
⭐
7
A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708
Sequoya
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7
Solving Multiple Sequence Alignment (MSA) problems with multi-objective metaheuristics
Jssp Solver
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7
Job Shop Scheduling Problem Solver
Metaheuristics Comparison
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6
Comparison of the solutions of different meta-heuristic algorithms to a simple problem
Metanalyze
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6
Repositorio con el Trabajo Final de Grado de Pedro Manuel Ramos Rodríguez sobre una aplicación para la validación estadística de metaheurísticas utilizadas para la optimización multi-objetivo
Code_otwo_elm
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6
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
Related Searches
Optimization Metaheuristics (100)
Python Metaheuristics (86)
Algorithms Metaheuristics (81)
Genetic Algorithm Metaheuristics (64)
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