7 programs for "genetic algorithm java" with 2 filters applied:

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  • 1
    jMetal
    jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.
    Downloads: 5 This Week
    Last Update:
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  • 2
    Graphplan Implementations
    This project consists of various implementations of the Graphplan algorithm. At the moment we have two implementations of Graphplan: * Emplan - A C++ implementation for Linux, Windows and MacOS X * JavaGP - A Java implementation
    Downloads: 1 This Week
    Last Update:
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  • 3
    EASEA
    EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
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    Downloads: 0 This Week
    Last Update:
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  • 4

    quadGT

    Software package for the joint genotyping

    quadGT is a software package for the joint genotyping of two parents, child’s normal genome and child’s tumor genome based on sequencing reads aligned to a reference genome.
    Downloads: 0 This Week
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  • 5

    EGA

    A novel and effictive GA algorithm to solve optimization problem

    Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments...
    Downloads: 0 This Week
    Last Update:
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  • 6

    GENet

    A genetic algorithm framework for artificial neural networks.

    A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
    Downloads: 0 This Week
    Last Update:
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  • 7

    biojazz

    In silico evolution of biochemical networks.

    In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model.
    Downloads: 0 This Week
    Last Update:
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