Title :
Chaos DNA Hooke-Jeeves evolutionary algorithm and its application in river pollution control
Author :
Yang, Xiaohua ; Li, Jianqiang
Author_Institution :
State Key Lab. of Water Environ. Simulation, Beijing Normal Univ., Beijing, China
Abstract :
In this paper, chaos DNA Hooke-Jeeves evolutionary algorithm (CDNAHJEA) is proposed to reduce computational amount and to improve the calculation precision for river pollution control programming, in which initial population are generated by chaos mapping, and new DNA mutation operation and Hooke-Jeeves evolution operation are used in the CDNAHJEA. Its convergence theorem is given. Compared with improved real-coded genetic algorithm, Hooke-Jeeves algorithm, Gray-encoded hybrid-accelerated genetic algorithm and LINGO method, CDNAHJEA has rapider convergent speed and higher calculation precision in solving the given practical river pollution control programming problem.
Keywords :
chaos; convergence; evolutionary computation; rivers; water pollution control; DNA mutation operation; chaos DNA Hooke-Jeeves evolutionary algorithm; chaos mapping; convergence theorem; river pollution control programming; Chaos; Computational modeling; DNA computing; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Pollution control; Rivers; Water pollution; DNA algorithm; chaos; evolutionary algorithm; river pollution control;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536472
