Title :
A real-coded chaotic immune quantum genetic algorithm
Author :
Lan, Chen ; Fei, Li
Author_Institution :
Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
This paper proposed a real-coded chaotic quantum immune genetic algorithm (RCIQGA) based on the chaotic and coherent characters of Q-bits, and also introduces immune concepts and methods. In this algorithm, real chromosomes are inversely mapped to Q-bits in the solution space Q-bits probability guided real cross and chaos mutation are used to real chromosomes evolution and searching. Meanwhile immune system was introduced into the algorithm. Simulation results show that the performance of RCIQGA is superior to the conventional genetic algorithm and QGA.
Keywords :
artificial immune systems; cellular biophysics; chaos; genetic algorithms; probability; quantum computing; Q bit probability; chaos mutation; chromosomes evolution; coherent character; immune system; real coded chaotic quantum immune genetic algorithm; Gallium; Chaos; Genetic algorithm; Immune Algorithm; Quantum Genetic Algorithm;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5655686