A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
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Updated
Jun 28, 2024 - Java
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
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:…
Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc
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
Java Evolutionary Computation
AGH Objective Programming Course Project 2022/2023.
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
Code and experiment data from the paper: "On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection"
Software allowing a population of students to practice programming against a coevolving population of Parsons puzzles
Evolving Neural Networks for a Flatland Agent
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