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
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