A research toolkit for particle swarm optimization in Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
🎯 A comprehensive gradient-free optimization framework written in Python
A framework for single/multi-objective optimization with metaheuristics
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)
Artificial Bee Colony Algorithm in Python.
Solving VRPTW with metaheuristics
Different meta-heuristic optimization techniques for feature selection
This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided.
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning
Metaheuristic approach for solving pick up and delivery problem with time windows.
Metaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python
An implementation of various metaheuristics adapted to train neural networks
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.
Travelling salesman problem with 3opt move and 2opt perturbation
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 ser…
🎓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.
A python Framework for Simple Ant Colony Optimization Algorithms
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