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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/5701


    Title: A Discrete Version of Particle Swarm Optimization for Distributed System Task Assignment Problem
    Authors: Shih-Tang Lo (羅仕堂)
    Der-Fang Shiau
    Ruey-Maw Chen
    Yi-Chun Lin
    Keywords: Particle Swarm Optimization
    Task Assignment
    meta-heuristic
    Date: 2009-09-25
    Issue Date: 2009-11-20 00:13:54 (UTC+8)
    Abstract: This paper presents a discrete particle swarm
    optimization to solve the task assignment problem using
    discrete binary variables. The particle swarm optimization
    involves a population of particles through a problem space on
    the basis of information about each particle’s local best
    solution and global best solution of all particles. Most versions
    of the particle swarm have operated in continuous variables.
    The task assignment problem of distributed system is to assign
    some tasks to distributed processors system, which relative
    tasks have to exchange information on different processors.
    The objective is to minimize the maximum cost of the
    processors, which includes computing cost and communication
    cost. Simulation results show the assignment problem can be
    solved by the proposed method efficiently.
    Relation: Shih-Tang Lo, Der-Fang Shiau, Ruey-Maw Chen, Yi-Chun Lin, A Discrete Version of Particle Swarm Optimization for Distributed System Task Assignment Problem, The 2nd International Conference on Advanced Computer Science and Engineering (ICACTE 2009) Pages. 1507-1516, September 25 -27,2009
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