Showing 5 open source projects for "genetic algorithm engine"

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  • 1
    New Terrain and 3D Map System

    New Terrain and 3D Map System

    a very lightweight advanced terrain-rendering and 3D map rendering sys

    A very lightweight advanced terrain-rendering and 3D map rendering system. Minimal dependencies: OpenGL, SDL. It's distrib in 2-3 separate modules: 1. the C++ implementation of the terrain- and/or surface- rendering Algorithms I have developed: both a multithread and a non-multithread variant is relaeased. 2. Seme as at point 1. , but with a road-network rendering and collision-detection module I wrote before. It also adds some trees at the top of the terrain. (multitread vesion not...
    Downloads: 1 This Week
    Last Update:
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  • 2
    New CTruck3D Rally

    New CTruck3D Rally

    Free-roaming 3D racing game featuring advanced terrain rendering

    It's a free-roaming 3D racing game featuring advanced terrain rendering. For small file-size, a 4k x 4k terrain is available, sampled meter-by-meter so it's very smooth. Lightweight program. This is the form in which I wished to do the first release of the terrain rendering Algorithm I have developed throughout almost 2 years. Written in C++, featuring multithreading (2 threads): a total remake of the first 3D game I did years ago, CTruck3D_Simplex and sequels. This works better,...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
    Downloads: 0 This Week
    Last Update:
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  • 4
    jg3d
    Pure Java implementation of an interactive 3d graph rendering engine and editor using a spring embedder algorithm. Nice looking sterile real time 3d environment. Feel free to extend our project and build something awesome, just let us know please :D
    Downloads: 0 This Week
    Last Update:
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  • 5
    PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
    Downloads: 0 This Week
    Last Update:
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