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 :
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