Feature Selection Library for Data Sciences in Python
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Updated
May 31, 2024 - Python
Feature Selection Library for Data Sciences in Python
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
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
A framework for single/multi-objective optimization with metaheuristics
Repository of shared bibtex files (references)
ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
OptFrame - C++17 (and C++20) 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, etc.
Rust library for local search optimization
Supplementary material for the paper: "Metaheuristics and Large Language Models Join Forces: Towards an Integrated Optimization Approach".
Example programs for usage of the Chips-n-Salsa library
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Projekat iz predmeta "Algoritamske heuristike", master akademske studije
Flexible and modular framework for different NP-Problems with different solvers
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Genetic algorithm-based approach for the Traveling Salesman Subset Problem (OTSSP or k-TSP)
Python bindings for OptFrame C++ Functional Core
Código para el proyecto de investigación basado en encontrar una ruta óptima de escape usando un algoritmo de colonia de hormigas
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Delivery Scheduling Optimisation problem solved by some meta heuristics algorithms in Julia
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