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    Evolutionary Computation in Combinatorial Optimization

    Posted By: step778
    Evolutionary Computation in Combinatorial Optimization

    Francisco Chicano, Bin Hu, Pablo García-Sánchez, "Evolutionary Computation in Combinatorial Optimization"
    English | 2016 | pages: 279 | ISBN: 3319306979 | PDF | 11,8 mb

    This
    book constitutes the refereed proceedings of the 16th European Conference on
    Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto,
    Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP,
    EvoMUSART and EvoApplications.
    The
    17 revised full papers presented were carefully reviewed and selected from 44
    submissions. The papers cover methodology, applications and theoretical studies. The
    methods included evolutionary and memetic algorithms, variable neighborhood
    search, particle swarm optimization, hyperheuristics, mat-heuristic and other
    adaptive approaches. Applications included both traditional domains, such as
    graph coloring, vehicle routing, the longest common subsequence problem, the
    quadratic assignment problem; and new(er) domains such as the traveling thief
    problem, web service location, and finding short addition chains. The
    theoretical studies involved fitness landscape analysis, local search and recombination
    operator analysis, and the big valley search space hypothesis. The
    consideration of multiple objectives, dynamic and noisy environments was also
    present in a number of articles.

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