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

fYear

2010

fDate

26-28 June 2010

Firstpage

1944

Lastpage

1947

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7737-1

Type

conf

DOI

10.1109/MACE.2010.5536472

Filename

5536472