Title :
Resource constraints machine scheduling: a genetic algorithm approach
Author :
Li, Yanzhi ; Wang, Fan ; Lim, Andrew
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
In this paper, we present a machine scheduling problem with resource constraints which is popular in manufacturing engineering. A genetic algorithm based approach is put forward and illustrated, including a special encoding and two kinds of decoding greedy schemes. Compared with both several kinds of lower bounds we present in the paper and the results from ILOG OPL software package, it is shown that our rapid genetic algorithm achieved significant results with stable and near-optimal performance.
Keywords :
genetic algorithms; job shop scheduling; manufacturing resources planning; genetic algorithm; job shop scheduling; machine scheduling; manufacturing engineering; optimisation; resource constraints; software package; Genetic algorithms; Industrial engineering; Job shop scheduling; Monitoring; Printers; Printing; Processor scheduling; Production; Pulp manufacturing; Research and development management;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299788
