發(fā)布時間：2019-06-10 14:39

【摘要】：提出一種基因連續(xù)編碼的改進GEP算法。通過改造K表達式的編碼規(guī)則消滅基因內(nèi)區(qū),使用更短的編碼規(guī)則,盡可能利用到每位編碼,保持基因多樣性,改善其跳出局部最優(yōu)的能力。由于充分利用基因連續(xù)編碼的天然基因片斷特性,不須定義多基因結(jié)構(gòu),降低算法設置的遺傳算子數(shù)量,減少人工參數(shù)設置對算法的干擾。在序列推理和函數(shù)發(fā)現(xiàn)數(shù)據(jù)集上的實驗結(jié)果表明,該算法具有更快的運算速度、較高的精度和較強的尋優(yōu)能力。
[Abstract]:An improved GEP algorithm for gene continuous coding is proposed. By modifying the coding rules of the K expression, the inner region of the gene is eliminated, and a shorter coding rule is used, so that the gene diversity can be kept as much as possible, and the ability of jumping out of the local optimal can be improved. Due to the full utilization of the natural gene fragment characteristics of the gene continuous coding, the multi-gene structure is not required, the number of the genetic operators set by the algorithm is reduced, and the interference of the manual parameter setting on the algorithm is reduced. The experimental results of the sequence reasoning and the function discovery data set show that the algorithm has faster operation speed, higher precision and better optimization ability.
【作者單位】： 華南農(nóng)業(yè)大學數(shù)學與信息學院;華南家禽疫病防控與產(chǎn)品安全協(xié)同創(chuàng)新中心;
【基金】：國家自然科學基金項目(71472068) 廣東省科技計劃基金項目(2012A020602102) 廣州市科技計劃基金項目(2014Y4300006)
【分類號】：Q811.4;TP18
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本文編號：2496525