Title :
A new genetic algorithm with statistical gene evaluation
Author :
Yeh, Edge C. ; Shyu, Yaw-Yu
Author_Institution :
Dept. of Power Mech. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
A new genetic algorithm is proposed to approximately evaluate the gene rather than the chromosome using statistical techniques. Simple statistical quantities are used to find out the influence of individual gene during the evolution and suggest better choices for a gene. The statistical values are incorporated into the genetic operations in the rates for the gene crossover and mutation. The effectiveness of new GA are shown by numerical results on function optimization
Keywords :
genetic algorithms; function optimization; genetic algorithm; statistical gene evaluation; statistical techniques; Biological cells; Genetic algorithms; Genetic mutations; Interpolation; Measurement standards; Mechanical engineering; Optimization methods; Statistics; Testing;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375078
