Abstract: As the individual distribution of linear crossover operator in real-coded tradit ional genetic algorithm (GA) tends to approach the center of defined space with the searching process,a novel genetic algorithm,which is named as chaos genetic algorithm (CGA),is proposed.Its genetic operation,which is based on chaos variable,makes the individuals of subgeneration distribut e uniformly in the defined space and avoids the premature of subgeneration.To co mpare the performances of the CGA with those of the traditional GA,the CGA and the traditional GA were applied to estimate the kinetic parameters of 2-chloroph eol oxidation in supercritical water under the same condition.The results demon strated that the CGA’s on-line and off-line performance was all superior t o that of the traditional GA,and that the probability of finding global optimal solution was larger than that of the traditional GA.Thus,due to the good perfo rmances of the CGA and the drawbacks of the premature nature and the finding par t optimal solution of the traditional GA,the CGA is an attractive alternative t o the traditional GA.