DocumentCode :
508085
Title :
Immune System Multiobjective Optimization Algorithm for DTLZ Problems
Author :
Bin Zhang ; Ren, Weihua ; Zhao, Lihua ; Deng, Xiaozheng
Author_Institution :
Xi´´an Commun. Inst., Xi´´an, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
603
Lastpage :
607
Abstract :
Based on artificial immune system, a novel immune system multiobjective optimization algorithm (ISMOA) is proposed. ISMOA presents nondominated sorting clonal selection operation, preserving the diversity of the population and more uniformly distributing global Pareto optimal solutions. The comparisons of ISMOA with NSGAII in DTLZ problems suggest that ISMOA clearly outperforms in converging towards the true front coverage and finding the spread of solutions.
Keywords :
Pareto optimisation; artificial immune systems; sorting; DTLZ problems; NSGAII; artificial immune system; global Pareto optimal solutions; immune system multiobjective optimization algorithm; nondominated sorting clonal selection operation; Artificial immune systems; Evolutionary computation; Immune system; Intelligent systems; Missiles; Optimization methods; Pareto optimization; Sorting; Space technology; artificial immune system; multiobjective optimization; nondominated sorting clonal selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.135
Filename :
5365367
Link To Document :
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