Search Results for "raylib-5.x"

JAG3D is no longer developed at source-forge, and has moved to GitHub. Please visit https://github.com/applied-geodesy/jag3d or https://software.applied-geodesy.org to get the latest version.

The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In...

This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.

jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.

Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary...

NEW OPTIMIZATION TECHNOLOGY & PLANNING EXPERIMENT. Technology is designed for multidimensional optimization practical problems with continuous object functions. Technology higher efficiency than traditional optimization methods.

JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included. Legal notice/Impressum: Klaus Meffert An der Struth 25 D-65510 Idstein sourceforge <at> klausmeffert.de

A deap is a doubly priority queue for efficient data operations. Both insertion and deletion operations take O(log(N)) time. Access of min or max takes constant time. It can be useful when both min and max are needed in the queue. It can also be used in situations where the number of items is too large and items with low priorities can be dropped with keep memory footprint small.

JCLEC is a general purpose evolutionary computation framework developed in Java. Some of its mains features are: multilevel architecture, highly reusable and integrable with other systems, easy to use and a lot of implemented algorithms and operation

An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.

Flexible job shop scheduling problem (FJSP) is very important in many fields such as production management, resource allocation and combinatorial optimization. In the real manufacturing systems, each operation could be processed on more than one machine and each machine can also process several operations. This feature is known as flexibility. You can define your problem in this software and get an optimal solution as a Gantt Chart. This software is based on my M.Sc. thesis of Shahed...

This project is a prototype of evolutionary computation algorithms implementations for Android. We, Tom BERNARD and Ugo PICHE, were asked to do this project as part of our electronic & computer science in the Polytech'Paris-UPMC engineer school, in France. We wanted to thank Mario Zechner and all contributors behind the fabulous libGDX project (https://code.google.com/p/libgdx/) which allowed us to use Box2D and OpenGL ES more, more easily than without this API.

Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.

X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.

breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.

Awakener aims to provide a Java library for solving practical, real world optimisation problems by means of genetic algorithms (turnkey algorithms for >= 90% of industry problems). Awakener extends Sleepwalker with specific algorithms.

Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.

http://jocdelavida.piposerver.com - Online implementation of Conway's Game of the Life 0 players game, but using entities based on the nature, like animals or plants who born, grow up, reproduces breed and die. Written in Java 6 and Adobe Flex 3.

Classroom allocation using Genetic Algorithms and restricted mutation. Developed by AIGroup: Pablo Cababie, Facundo Cancelo, Alvaro Zweig y Gabriel Barrera

This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.

The target of this project is to build easy, reliable, flexible and universal Java Configuration Tool.

JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.

OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming.

A framework for utilising the Genetic Algorithm in the domain of Game Theory