Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
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Updated
May 12, 2024 - Java
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
The Watchmaker Framework for Evolutionary Computation
A framework for Big Data Optimization with multi-objective metaheuristics
An interactive environment where protozoa-like entities live, die, and have offspring whose behaviours and morphologies can change.
EARS is a free and open-source Java-based framework for ranking, developing, and experimenting with single- and multi-objective evolutionary algorithms
Modular Java framework for meta-heuristic optimization
Java Agent Based Modelling toolkit
Evolutionary Multitasking in Permutation-Based Combinatorial Optimization Problems: Realization with TSP and Knapsack
Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc
[DEPRECATED] Simulation Framework for Virtual Machine Placement in Cloud Computing Environments. [CURRENT]: https://github.com/SDDCVMP/VMP-framework
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:…
NSGA-II and GA: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-II) and Binary Genetic Algorithm for Combinatorial Optimization
Course Scheduling Project using Evolutionary Algorithms
Solving the NP-hard Multiple Depot Vehicle Routing Problem with a Genetic Algorithm
Homeworks for the college class: Solving Optimization Problems Using Evolutionary Computation Algorithms In Java
Image Segmentation using a Multi-Objective Genetic Algorithm (NSGA-II)
Making evolutionary algorithm implementation and execution simple and painless.
Solving equation by evolutionary algorithms. (μ+λ) and evolutionary programming
Software allowing a population of students to practice programming against a coevolving population of Parsons puzzles
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