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.
Image Segmentation using a Multi-Objective Optimization Algorithm (NSGA-II)
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.
Evolutionary algorithm for creating IC2 nuclear reactor designs.
The f-evop is a simple plug&play "library" written in Java for classical evolutionary algorithms
The repository for my BSc dissertation on the 'Evolutionary Generation of Classifiers using Genetic Programming' which achieved a First mark.
This repository contains my own implementation of evolutionary and genetic algorithms. Also it contains other projects connected artificial intelligence.
Heuristic AI for playing Tetris. Uses neuro-evolution algorithm.
Exam Scheduling Program For FAST University. It makes use of the genetic algorithm to create the schedule.
An implementation of the AgE3-compatible solver for the Carbon Footprint optimization.
Experiments for a Q-Based Evolutionary Algorithm (QBEA)
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.
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