In this paper, a hybrid model of Entropy Weight Method (EWM) and Gaussian Pigeon-Inspired Optimization (GPIO) is proposed to solve the problem of rectangular waveguide design. There are four parameters involved in the design: length, width, relative permittivity and electrical conductivity. Our goal is to optimize the combination of these parameters so that the waveguide achieves the best overall performance. EWM is employed in the building of the performance judging function. An improved Pigeon-Inspired Optimization adopting Gaussian searching strategy is utilized for minimizing the function's value. Comparative experiments with basic PIO and Particle Swarm Optimization (PSO) are conducted, and the results verify that better design can be obtained with our proposed Gaussian Entropy Weight Pigeon-Inspired Optimization (GEWPIO) algorithm because of its utilization of information theory and non-linear searching strategy.


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    Title :

    Gaussian Entropy Weight Pigeon-Inspired Optimization for rectangular waveguide design


    Contributors:
    Yuwei Hu (author) / Duan, Haibin (author)


    Publication date :

    2016-08-01


    Size :

    226684 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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