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thieu1995 / MealpyA Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
lyle-nel / SigaPopulation based metaheuristic for password cracking. Siga(Simple genetic algorithm)
Valdecy / PyCombinatorialThis library provides a comprehensive suite of algorithms to solve the Travelling Salesman Problem (TSP), ranging from Exact Algorithms, Heuristics, Metaheuristics and Reinforcement Learning techniques. It includes over 50 methods for tackling TSP instances.
optframe / OptframeOptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etMu
emad-deilam-salehi / Path Planning Using Gray Wolf OptimizationRegenerated a state-of-the-art meta-heuristic algorithm for the UAV path planning problem, proposed by Qu, Gai, and Zhong.
aliasgharheidaricom / Harris Hawks Optimization Algorithm And ApplicationsHarris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resource allocation, HHO is renowned for its simplicity, versatility, and effectiveness in finding global optima.
ccssmnn / HegoMetaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...
tadatoshi / Metaheuristic Algorithms PythonVarious metaheuristic algorithms implemented in Python.
aliasgharheidaricom / Slime Mould Algorithm A New Method For Stochastic Optimization In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics in an extensive set of benchmarks to verify the efficiency. Moreover, four classical engineering structure problems are utilized to estimate the efficacy of the algorithm in optimizing engineering problems. The results demonstrate that the algorithm proposed benefits from competitive, often outstanding performance on different search landscapes. The source codes and info of SMA are publicly available at: http://www.alimirjalili.com/SMA.html
Computational-Intelligence-Fall18 / Computational Intelligence TutorialsMaterial of the Computational Intelligence course which originated in University of Guilan. This is the repository of codes written in class.
AbdelazimHussien / MetaheuristicsAlgorithms.jlThis is a collection of Metaheuristics Algorithms written in Julia
kkg1999 / MetaheuristicOptimizationDifferent meta-heuristic optimization techniques for feature selection
justinlovinger / Optimal PyA python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
tonykero / Moe[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms
yiheng-wang-duke / Metaheuristic Algorithms For JSP And FJSP ProblemsIn this repo, GA, SA, and PSO algorithms are implemented to solve Job-shop Scheduling Problem(JSP) and Flexible Job-shop Scheduling Problem (FJSP) problem.
koptimizer / My Optimization StudioMetaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python
osmangokalp / CloudTaskSchedulingOptimizationCloud task scheduling optimization in CloudSim framework using heuristic and metaheuristic algorithms
tumBAIS / RoutingBlocksA modular Python package for the development of metaheuristic algorithms for Vehicle Routing Problems with Intermediate Stops
aryashah2k / MetaheuRUSTicsA comprehensive Rust library for metaheuristic optimization algorithms, providing efficient implementations of various optimization techniques
yuan-xin-9997 / PdptwSolving Pickup and Delivery Problem by Optimization Software, Exact Algorithm, Heuristics, and Metaheuristics with Python.
