Title :
A novel immune danger algorithm for constrained multiobjective optimization
Author_Institution :
Sch. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang, China
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561731
