Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
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Updated
Aug 24, 2017 - Java
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc
The Stochastic Optimisation Software (SOS) is a research-oriented software platform for Metaheuristic Optimisation (Stochastic Optimisation). If you are using SOS, please acknowledge the article "Caraffini, F.; Iacca, G. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms. Mathematics 2020, 8, 785." (https:…
Evolutionary Computation Framework in Java
Regex generator which use genetic programming evolve grok and and to automatically discover regex given a set of texts having similar structure
JCLEC-MO: a Java suite for solving multi- and many-objective optimization problems with metaheuristics
AGH Objective Programming Course Project 2022/2023.
Java Evolutionary Computation
Spark implementation that takes a set of texts and use genetic programming to discover a regex for grok that will match other similar texts
The f-evop is a simple plug&play "library" written in Java for classical evolutionary algorithms
Orthant search is "one code to rule them all" for many operations in multiobjective evolutionary algorithms.
An optimization framework for multi-objective evolutionary algorithms
Clustering Criterias for multi-objective data clustering.
Symbolic regression with genetic programming
Transfer learning for semantic similarity measures based on symbolic regression
Evolving Neural Networks for a Flatland Agent
Software allowing a population of students to practice programming against a coevolving population of Parsons puzzles
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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