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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/27904

    標題: PREACO: A fast ant colony optimization for codebook generation
    作者: Tsai, Chun-Wei
    Tseng, Shih-Pang
    Yang, Chu-Sing
    Chiang, Ming-Chao
    貢獻者: 資訊多媒體應用系
    關鍵字: Ant Colony Optimization
    Codebook Generation Problem
    Pattern Reduction
    日期: 2013-06
    上傳時間: 2014-05-26 10:48:24 (UTC+8)
    出版者: Elsevier Science Bv
    摘要: This paper presents an effective and efficient method for speeding up ant colony optimization (ACO) in solving the codebook generation problem. The proposed method is inspired by the fact that many computations during the convergence process of ant-based algorithms are essentially redundant and thus can be eliminated to boost their convergence speed, especially for large and complex problems. To evaluate the performance of the proposed method, we compare it with several state-of-the-art metaheuristic algorithms. Our simulation results indicate that the proposed method can significantly reduce the computation time of ACO-based algorithms evaluated in this paper while at the same time providing results that match or outperform those ACO by itself can provide. (C) 2013 Elsevier B. V. All rights reserved.
    關聯: Applied Soft Computing, v.13 n.6, pp.3008-3020
    Appears in Collections:[資訊多媒體應用系] 期刊論文

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