Title :
Adaptive polyclonal programming algorithm with applications
Author :
Haifeng, Du ; Licheng, Jiao ; Ruochen, Liu
Author_Institution :
National Key Lab. for Rader Signal Process., Xidian Univ., Xi´´an, China
Abstract :
Based on the clonal selection theory, the main mechanism of immune clone applied in artificial intelligence is analyzed in this paper. A new operator, adaptive polyclonal operator as well as a novel artificial immune system algorithm, APPA (adaptive polyclonal programming algorithm), is put forward. Compared with some other evolutionary programming algorithms (like breeder genetic algorithm), APPA, behaving as an evolutionary strategy, is shown to be capable of solving complex machine learning tasks effectively, like multimodal function optimization.
Keywords :
adaptive systems; artificial life; evolutionary computation; learning (artificial intelligence); APPA; adaptive polyclonal operator; adaptive polyclonal programming algorithm; artificial immune system algorithm; artificial intelligence; breeder genetic algorithm; clonal selection; complex machine learning; evolutionary programming algorithm; immune clone; multimodal function optimization; Adaptive systems; Artificial immune systems; Artificial intelligence; Cloning; Functional programming; Genetic programming; Immune system; Machine learning; Machine learning algorithms; Signal analysis;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238150