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Managing Genetic Search in Job Shop Scheduling
October 1993 (vol. 8 no. 5)
pp. 15-24
ASCII Text
x 
 
Serdar Uckun, Sugato Bagchi, Kazuhiko Kawamura, Yutaka Miyabe, "Managing Genetic Search in Job Shop Scheduling," IEEE Intelligent Systems, vol. 8, no. 5, pp. 15-24, October, 1993.
 
 
BibTex
x
 
@article{ 10.1109/64.236477,
author = {Serdar Uckun and Sugato Bagchi and Kazuhiko Kawamura and Yutaka Miyabe},
title = {Managing Genetic Search in Job Shop Scheduling},
journal ={IEEE Intelligent Systems},
volume = {8},
number = {5},
issn = {0885-9000},
year = {1993},
pages = {15-24},
doi = {http://doi.ieeecomputersociety.org/10.1109/64.236477},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Managing Genetic Search in Job Shop Scheduling
IS - 5
SN - 0885-9000
SP15
EP24
EPD - 15-24
A1 - Serdar Uckun,
A1 - Sugato Bagchi,
A1 - Kazuhiko Kawamura,
A1 - Yutaka Miyabe,
PY - 1993
VL - 8
JA - IEEE Intelligent Systems
ER -
 

The Vanderbilt Schedule Optimizer Prototype (VSOP), which uses genetic algorithms as search methods for job shop scheduling problems, is discussed. A job shop is a facility that produces goods according to prespecified process plans, under several domain-dependent and common sense constraints. The scheduling of orders in a job shop is a multifaceted problem. VSOP uses domain-specific chromosome representations, recombination operators, and local enumerative search to increase efficiency. Experimental results from a fully implemented VSOP package are presented.

Citation:
Serdar Uckun, Sugato Bagchi, Kazuhiko Kawamura, Yutaka Miyabe, "Managing Genetic Search in Job Shop Scheduling," IEEE Intelligent Systems, vol. 8, no. 5, pp. 15-24, Oct. 1993, doi:10.1109/64.236477
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