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
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;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1468828
