Search Results - "Evolutionary multi-objective algorithms"

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  1. 1

    Quantum control experiments as a testbed for evolutionary multi-objective algorithms by Shir, Ofer M., Roslund, Jonathan, Leghtas, Zaki, Rabitz, Herschel

    ISSN: 1389-2576, 1573-7632
    Published: Boston Springer US 01.12.2012
    Published in Genetic programming and evolvable machines (01.12.2012)
    “… In this study we introduce the topic of multi-observable quantum control (MOQC), and consider specific systems to be Pareto optimized subject to uncertainty, either experimentally or by means of simulated systems…”
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    Journal Article
  2. 2

    Investigation of Evolutionary Multi-Objective Algorithms in Solving view Selection Problem by Talebian, Seyed Hamid

    ISBN: 9798379981068
    Published: ProQuest Dissertations & Theses 01.01.2013
    “…Today’s huge volumes of data are maintained in conventional database systems. The data distributed in these systems sometimes come in inconsistent formats. On…”
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    Dissertation
  3. 3

    Comparison of evolutionary multi objective algorithms for the dynamic network design problem by Wismans, L J J, Van Berkum, E C, Bliemer, M C J

    ISBN: 1424495709, 9781424495702
    Published: IEEE 01.04.2011
    “… Evolutionary multi objective algorithms has been proven successful in solving multi objective optimization problems…”
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    Conference Proceeding
  4. 4

    Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms by Shir, Ofer M, Roslund, Jonathan, Zaki Leghtas, Rabitz, Herschel

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 22.12.2011
    Published in arXiv.org (22.12.2011)
    “… In this study we introduce the topic of Multi-Observable Quantum Control (MOQC), and consider specific systems to be Pareto optimized subject to uncertainty, either experimentally or by means of simulated systems…”
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    Paper
  5. 5

    Solution of Combined Economic Emission Dispatch Problem with Valve-Point Effect Using Hybrid NSGA II-MOPSO by Sundaram, Arunachalam

    ISBN: 1789231485, 9781789231489
    Published: IntechOpen 01.01.2018
    “… To overcome the shortcomings of the evolutionary multi-objective algorithms like slow convergence to Pareto-optimal front, premature convergence, local trapping, it is very natural to think…”
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    Book Chapter
  6. 6

    Agent-based under hood packing by Ravindranath, Karthik

    ISBN: 9781124444772, 1124444777
    Published: ProQuest Dissertations & Theses 01.01.2011
    “…Improving vehicle performance and passenger comfort has been a prime engineering concern and focus of research for many years in automotive design. Turning to…”
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    Dissertation