Chaos DNA Hooke-Jeeves evolutionary algorithm and its application in river pollution control

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.