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    DFVLR
    1987
    172views Distributed And Parallel Com...» more  DFVLR 1987»
    Two Fundamental Issues in Multiprocessing
    13 years 11 months ago
    Two Fundamental Issues in Multiprocessing
    Download  www.cs.cornell.edu
    : This paper examines the argument for dataflow architectures in "Two Fundamental Issues in Multiprocessing[5]." We observe two key problems. First, the justification of ...
    Arvind, Robert A. Iannucci
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    ATMOS
    2007
    163views Optimization» more  ATMOS 2007»
    Branching Strategies to Improve Regularity of Crew Schedules in Ex-Urban Public Transit
    13 years 9 months ago
    Branching Strategies to Improve Regularity of Crew Schedules in Ex-Urban Public Transit
    Download  drops.dagstuhl.de
    We discuss timetables in ex-urban bus traffic that consist of many trips serviced every day together with some exceptions that do not repeat daily. Traditional optimization methods...
    Ingmar Steinzen, Leena Suhl, Natalia Kliewer
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    GECCO
    2006
    Springer
    179views Optimization» more  GECCO 2006»
    Local search for multiobjective function optimization: pareto descent method
    13 years 11 months ago
    Local search for multiobjective function optimization: pareto descent method
    Download  www.cs.bham.ac.uk
    Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
    Ken Harada, Jun Sakuma, Shigenobu Kobayashi
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    ASC
    2006
    103views Artificial Intelligence» more  ASC 2006»
    Simulation-based optimisation using local search and neural network metamodels
    13 years 9 months ago
    Simulation-based optimisation using local search and neural network metamodels
    Download  www.his.se
    This paper presents a new algorithm for enhancing the efficiency of simulation-based optimisation using local search and neural network metamodels. The local search strategy is ba...
    Anna Persson, Henrik Grimm, Amos Ng
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    HM
    2009
    Springer
    145views Optimization» more  HM 2009»
    A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal + +
    14 years 16 days ago
    A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal + +
    Download  users.dimi.uniud.it
    We present a hybrid solver (called GELATO) that exploits the potentiality of a Constraint Programming (CP) environment (Gecode) and of a Local Search (LS) framework (EasyLocal++ )....
    Raffaele Cipriano, Luca Di Gaspero, Agostino Dovie...
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