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Received:May 03, 2011 Revised:May 31, 2011
Received:May 03, 2011 Revised:May 31, 2011
中文摘要: 传统迭代函数系统(iterated function system,简写为IFS)的植物形态模拟与植物的自然进化过程差别很大。将IFS与遗传算法相结合进行植物形态的模拟,将IFSP码设为遗传算法中个体的基因;并对基因进行选择,交叉等遗传操作;设置了合理的适应度函数对生成的植物个体进行评价,使模拟结果体现自然界中物种的遗传与进化。本文模拟出具有分形特征且更符合自然规律的植物。
Abstract:Traditional iterated function system (abbreviated as IFS) of the plant simulation and the natural evolutionary process of plants vary widely. This article combines both IFS and genetic algorithm to simulate the morphology of plant. We make the “IFSP code” to be the set of genes in the genetic algorithm; the genes to do this selection, crossover and other genetic operations; set up a reasonable fitness function for evaluation of individual plants, reflecting the nature of species genetic and evolution. Finally, we simulate the fractal characteristics and more in line with the laws of nature plants.
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刘树群,张雯雯.遗传算法与IFS 相结合的植物形态模拟.计算机系统应用,2012,21(1):176-178
LIU Shu-Qun,ZHANG Wen-Wen.IFS and Genetic Algorithm Studying in Simulation of Plant.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):176-178
刘树群,张雯雯.遗传算法与IFS 相结合的植物形态模拟.计算机系统应用,2012,21(1):176-178
LIU Shu-Qun,ZHANG Wen-Wen.IFS and Genetic Algorithm Studying in Simulation of Plant.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):176-178