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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/89156

    Title: Comparison of Particle Swarm Optimization and Genetic Algorithm for the Path Loss Reduction in an Urban Area
    Authors: Chiu, Chien-Ching;Cheng, Yu-Ting;Chang, Chai-Wei
    Contributors: 淡江大學電機工程學系
    Keywords: SBR/Image Method;Outdoor Environments;Antenna Arrays;Antenna Patterns
    Date: 2012-12
    Issue Date: 2013-05-22 14:23:15 (UTC+8)
    Abstract: In this paper, we use the shooting and bouncing ray/image (SBR/Image) method to compute the
    path loss for different outdoor environments in the commercial area of Taipei. Three types of antenna
    arrays such as L shape, Y shape, and circular shape arrays are used in the base station and their
    corresponding path loss on several routes in the outdoor environment are calculated. Moreover, the
    genetic algorithm (GA) and particle swarm optimization algorithm (PSO) are employed to optimize
    the excitation voltages and phases for these antenna arrays to reduce the path loss. The GA and PSO
    optimization is applied to a high order nonlinear optimization problem. As such the chosen
    optimization problem for a direct algebraic solution exists. By the obtained antenna patterns, we can
    know the route with the lowest path loss; meanwhile, transmission power using this route in the base
    station can be reduced. Numerical results show that the performance in reduction of path loss by PSO
    algorithm is better than that by GA for these antenna arrays. The investigated results can help
    communication engineers improve their planning and design of outdoor communication system.
    Relation: Journal of Applied Science and Engineering 15(4), pp.371-380
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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