Python code writing ground
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Updated
Jun 9, 2024 - Jupyter Notebook
Python code writing ground
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
This respository constains heuristics, also metaheuristics
Código para el proyecto de investigación basado en encontrar una ruta óptima de escape usando un algoritmo de colonia de hormigas
Ideas developed or integrated with other publicly available projects
TSP - Ant Colony Optimization
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
Feature selection with Firefly Algorithm
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Applications of Metaheuristic Optimization in Python
Multiple Knapsack Problem (MKP) using three different algorithms: Depth-First Search (DFS), Breadth-First Search (BFS), and the A* heuristic algorithm
Repository of shared bibtex files (references)
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
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.
Solving VRPTW with metaheuristics
Feature Selection Library for Data Sciences in Python
A framework for single/multi-objective optimization with metaheuristics
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