Title :
Genetic algorithm for job shop scheduling problems based on two representational schemes
Author :
Lae-Jeoung Park ; Hoon Park, Cheol
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
fDate :
11/9/1995 12:00:00 AM
Abstract :
The authors explain the application of a genetic algorithm (GA) to job shop scheduling problems with a new crossover and two kinds of mutation based on two representational schemes. Simulation results show that our genetic operators and representational schemes are very powerful and suitable to job shop scheduling problems
Keywords :
genetic algorithms; production control; scheduling; crossover; genetic algorithm; job shop scheduling problems; mutation; representational schemes;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19951385
