Modular Java framework for meta-heuristic optimization
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Updated
Mar 15, 2024 - Java
Modular Java framework for meta-heuristic optimization
A simple Java OOP evolutionary algorithm framework.
Prisoner's dilemma simulator including genetic algorithms for strategy evolution and a spatial variant of the iterated prisoner's dilemma game
The source code examples for the book "An Introduction to Optimization Algorithms"
Rapid and precise prediction of Mycobacterium tuberculosis complex families
A magic bitboard and parallelized PVS powered chess engine within a chess engine framework providing machine learning based parameter optimization, UCI support, and a GUI.
Repositorio de la asignatura Inteligencia Computacional del Máster de Ingeniería Informática de la UGR
The W-Model, a tunable Black-Box Discrete Optimization Benchmarking (BB-DOB) problem, implemented for the BB-DOB@GECCO Workshop.
Genetic Algorithm for Space Ships to dodge Asteroids
A Java application to solve multiobjective optimization problems in an interactive way using the Interactive WASFGA (iWASFGA) method.
Image Segmentation using a Multi-Objective Optimization Algorithm (NSGA-II)
Evolutionary algorithm for creating IC2 nuclear reactor designs.
The f-evop is a simple plug&play "library" written in Java for classical evolutionary algorithms
This repository contains my own implementation of evolutionary and genetic algorithms. Also it contains other projects connected artificial intelligence.
The repository for my BSc dissertation on the 'Evolutionary Generation of Classifiers using Genetic Programming' which achieved a First mark.
Exam Scheduling Program For FAST University. It makes use of the genetic algorithm to create the schedule.
Heuristic AI for playing Tetris. Uses neuro-evolution algorithm.
An implementation of the AgE3-compatible solver for the Carbon Footprint optimization.
A research project from Edinburgh Napier University regarding Heat Treatment Optimisation - utilising an evolutionary algorithm to locate the local and global maxima & minima within the parametric space.
Code and experiment data from the paper: "On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection"
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