期刊文献+

应用无性繁殖单亲遗传算法实现精馏分离序列优化综合 被引量:1

Application of partheno-genetic algorithm based on asexual reproduction to distillation separation sequence optimization synthesis
下载PDF
导出
摘要 由于精馏分离序列与二叉树之间具有同构性,在数据结构上精馏分离序列可以抽象为二叉树,直接采用二叉树结构编码方案可以同时表达个体的基因型和表现型.借鉴生物界单亲父本可以经过无性繁殖得到子代的现象,对进化和遗传等重组算子进行设计.应用图论方法建立有效的二叉树结构演化重组机制,从而形成无性繁殖单亲交叉和变异算子.实例表明无性繁殖单亲遗传算法能够成功解算大规模精馏分离序列优化综合问题. Because there is analogous structure between the distillation separation sequence and the binary tree, distillation separation sequence can be described as binary tree data structure, and thus the binary tree is directly applied as the coding method so that genetype and phenotype of individuals can be represented simultaneously. According to the phenomenon that single parent can breed offspring through asexual reproduction, evolutionary and genetic operator can be designed. And then, by using the method of graph theory, the recombination mechanism in structure of the binary tree is built. As a result, the single parent crossover and mutation operator based on asexual reproduction are designed successfully. The example shows that parthenogenetic algorithm based on asexual reproduction can successfully solve the problem of large-scale distillation separation sequence synthesis.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2004年第6期781-785,共5页 Journal of Dalian University of Technology
关键词 单亲遗传算法 二叉树结构 数据结构 大规模 图论方法 变异算子 编码方案 无性繁殖 父本 序列 Binary codes Distillation Genetic algorithms Graph theory Optimization
  • 相关文献

参考文献6

  • 1WAHL P E, LIEN K M. Combinatorial aspects of sharp split separation systems synthesis [J]. AIChE J, 1990,36(10):1601-1604.
  • 2NISHIDA N, STEPHANOPOULOS G, WESTER- BERG A W. A review of process synthesis [J]. AIChE J, 1981,27:321-351.
  • 3STEPHANOPOULOS G, WESTERBERG A W. Evolutionary synthesis of optimal process flowsheets [J]. Chem Eng Sci, 1976,31:195-204.
  • 4HOLLAND J H. Adaptation in Natural and Artificial Systems [M]. Ann Arbor:The University of Michigan Press,1975.
  • 5GOLDBERG D E. Genetic Algorithms in Search,Optimization and Machine Learning [M]. New York:Addison-Wesley Publishing Company,1989.
  • 6RUDOLPH G. Convergence analysis of canonical genetic algorithm [J]. IEEE Trans on Neural Networks, 1994, 5:96-101.

共引文献1

同被引文献7

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部