DocumentCode
2695181
Title
Immune genetic programming based on register-stack structure
Author
Zhang, Zeminjg ; Luo, Wenjian ; Wang, Xufa
Author_Institution
Univ. of Sci. & Technol. of China, Hefei
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
3751
Lastpage
3758
Abstract
Inspired by biological immune principles, a novel Immune Genetic Programming based on Register-Stack structure (rs-IGP) is proposed in this paper. In rs-IGP, an antigen represents a problem to be solved, and an antibody represents a candidate solution. A flexible and efficient antibody representation based on register-stack structure is designed for rs-IGP. Three populations are adopted in rs-IGP, i.e. the common population, the elitist population and the self set. The immune genetic operators are also developed, including clone operator, recombination operator, mutation operator, hypermutation operator, crossover operator and negative selection operator. The experimental results demonstrate that rs-IGP has better performance.
Keywords
genetic algorithms; Immune antibody representation; biological immune principles; immune genetic programming; register stack structure; Biological system modeling; Cloning; Evolutionary computation; Gene expression; Genetic algorithms; Genetic mutations; Genetic programming; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4424959
Filename
4424959
Link To Document