🎯 A comprehensive gradient-free optimization framework written in Python

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

Tabu search and Genetic algorithm implementation for container loading problem (3D bin packing)

A Tabu Search algorithm for the Vehicle Routing Problem with Cross-Docking.

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

Python implementation of Tabu Search (TB), Genetic Algorithm (GA), and Simulated Annealing (SA) solving Travelling Salesman Problem (TSP). Term project of Intelligent Optimization Methods, UCAS course 070105M05002H. 禁忌搜索, 遗传算法, 模拟退火解旅行商问题的Python实现. 中国科学院大学现代智能优化方法大作业.

Python program for aggregation and reaction

Tabu search solver for job shop scheduling problem

Tabu Search algorithm

Implementation of local search-based algorithms for solving SAT and Max-SAT in Python

Python bindings for OptFrame C++ Functional Core

Heuristics for cardinality constrained portfolio optimisation

This repository was created for the subject of Computer Theory. The propose of this subject is to improve your skills to solve the 0-1 knapsack problem of different ways. The techniques used were Dynamic Programing and two metaheuristics (which are GRASP and TABU search).

Solving SOP with SA, GRASP, Tabu Search algorithms. Include an analytic report.

codes of my IUT course

As alternative heuristic technique; tabu search algorithm is implemented in Python for a capacitated plant location (CPL) problem. Details on implementation and test results can be found in this Github repository.

TSP Solver based on Lin-Kernighan, Lin-Kernighan-Helsgaun, 2-opt, 3-opt, Tabu Search heuristics, all algorithms optimized by Numba (JIT-compiler)

Solving SAT problems with Genetic Algorithms.

Code implementations based on the book "Inteligencia Artificial. Fundamentos, práctica y aplicaciones", 2nd. Edition, by Alberto García Serrano.

Adapted GRASP algorithm developed by researchers from the Informatics Center of the Federal University of Pernambuco - UFPE to optimize Deep Learning architectures for tabular data classification.