淡江大學機構典藏:Item 987654321/112561
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    題名: An improved design of program representation for genetic programming
    作者: F.-C. Chang;H.-C. Huang
    關鍵詞: Genetic programming;GP
    日期: 2017-10-11
    上傳時間: 2018-01-09 02:10:26 (UTC+8)
    摘要: Although genetic programming (GP) is derived from genetic
    algorithm (GA), there are issues that prevent GP being as efficient as
    GA. The validity of a generated program, the design of ephemeral constants,
    and the empirical considerations of GP parameters are part of the
    issues affecting the convergence of a GP process. Based on many experimental
    results, an improved GP scheme is proposed in this paper. The
    design of the program representation and the storage of the computation
    result(s) ensure that a program is both structurally and behaviorally
    valid. Empirical considerations are also discussed, and a few guidelines of
    setting GP parameters are derived from the experimental observations.
    關聯: 19-24
    顯示於類別:[資訊創新與科技學系] 會議論文

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