【摘要】：提出一種基因連續(xù)編碼的改進(jìn)GEP算法。通過(guò)改造K表達(dá)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(shè)置的遺傳算子數(shù)量,減少人工參數(shù)設(shè)置對(duì)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(shí)驗(yàn)結(jié)果表明,該算法具有更快的運(yùn)算速度、較高的精度和較強(qiáng)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(xué)數(shù)學(xué)與信息學(xué)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(guó)家自然科學(xué)基金項(xiàng)目(71472068) 廣東省科技計(jì)劃基金項(xiàng)目(2012A020602102) 廣州市科技計(jì)劃基金項(xiàng)目(2014Y4300006)
【分類號(hào)】：Q811.4;TP18
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本文編號(hào)：2496525