Search Results for "multiobjective optimization"

Showing 5 open source projects for "multiobjective optimization"

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  • 1
    OptFlux
    OptFlux is an open-source and modular software aimed at being the reference computational application in the field. It is the first tool to incorporate strain optimization tasks, i.e., the identification of Metabolic Engineering targets.
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    Downloads: 5 This Week
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  • 2
    MOEA Framework

    MOEA Framework

    A Free and Open Source Java Framework for Multiobjective Optimization

    The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. ...
    Downloads: 2 This Week
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  • 3

    MOEA/D-PRE

    The code of preference-based MOEAs

    The code is to illustrate the struct of MOEA/D-PRE(one of my paper), but it should be applied with the jMetal (https://sourceforge.net/projects/jmetal/). The main-class is to deal with the reference-based multiobjective optimization problem.
    Downloads: 0 This Week
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  • 4

    Bouc-Wen-Baber-Noori model of hysteresis

    Compute parameters of the Bouc-Wen-Baber-Noori model of hysteresis

    This toolbox computes the parameters of the Bouc–Wen–Baber–Noori hysteresis model using Multiobjective optimization evolutionary algorithms (MOBEAs). The toolbox uses the NSGA − II algorithm, which is an elitist non–dominated sorting EA. The toolbox uses the original NSGA-II algorithm developed by Prof. Kalyanmoy Deb, which can be download from: http://www.iitk.ac.in/kangal/codes.shtml Prof. Deb allowed me to use and post this toolbox.
    Downloads: 0 This Week
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  • 5
    Java Evolutionary MultiAgent System allows user to solve multiobjective optimization problems using evolutionary algorithms with energetical elitism in multiagent system. It allows also to perform test using varied metrics.
    Downloads: 0 This Week
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