DocumentCode
438848
Title
A novel artificial immune algorithm applied to solve optimization problems
Author
Li, Chunhua ; Zhu, Yamfei ; Mao, Zongyuan
Author_Institution
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume
1
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
232
Abstract
In the paper, we discuss multi-objective (MO) optimization problems solved by artificial immune algorithm. We present a novel artificial immune algorithm for MO optimization (AIAMOO) and analyze its powerful performance from the immune system point of view. Finally, the AIAMOO is applied to solve two complex MO optimization problems and the results can perfectly map the Pareto-optimal front. It shows the good prospect to apply artificial immune system to solve MO optimization problems.
Keywords
optimisation; Pareto-optimal front; artificial immune algorithm; evolutionary algorithm; multi-objective optimization problems; Algorithm design and analysis; Artificial immune systems; Automation; Cells (biology); Cloning; Educational institutions; Immune system; Pareto optimization; Performance analysis; Power engineering and energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1468828
Filename
1468828
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