DocumentCode
620502
Title
A novel immune danger algorithm for constrained multiobjective optimization
Author
Hong Lu
Author_Institution
Sch. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang, China
fYear
2013
fDate
25-27 May 2013
Firstpage
4426
Lastpage
4429
Abstract
A new immune optimization algorithm for constrained multiobjective optimization problems is designed based on danger theory exhibited in biological immune system. The general situation and running mechanism are presented in this paper. The algorithm identifies "dangerous" as the core idea and introduces antigen presenting cell and different danger signals. Experimental results of constrained multiobjective optimization show that the new algorithm has higher efficiency than traditional immune algorithms.
Keywords
Pareto optimisation; artificial immune systems; antigen presenting cell; biological immune system; constrained multiobjective optimization problems; danger signals; danger theory; immune danger algorithm; Algorithm design and analysis; Evolutionary computation; Immune system; Optimization; Sociology; Statistics; Artificial Immune System; Constrained Multiobjective Optimization; Danger Theory; Pareto Optimality;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561731
Filename
6561731
Link To Document