TY - JOUR
T1 - Optimal design modifications by geometric programming and constrained stochastic network models
AU - Charnes, A.
AU - Cooper, W. W.
AU - Golany, B.
AU - Masters, J.
N1 - Funding Information:
This research was partly supported by ONR Contract N00014-82-K-0295, National Science Foundation Grant SES-8408134, and AF Contract F49642-85-D0029 with the Center for Cybernetic Studies. The University of Texas at Austin.
PY - 1988/1/1
Y1 - 1988/1/1
N2 - A new class of constrained stochastic network models is formulated in a manner that can be used to support a variety of analyses of optimal design modifications for special weapons systems under budgetary and other constraints. Alternative expressions in terms of geometric programming are also explored. These, however, are far more inconvenient to compute or manipulate especially as the model size increases. Component modifications to the B52G system are considered in a prototype example.
AB - A new class of constrained stochastic network models is formulated in a manner that can be used to support a variety of analyses of optimal design modifications for special weapons systems under budgetary and other constraints. Alternative expressions in terms of geometric programming are also explored. These, however, are far more inconvenient to compute or manipulate especially as the model size increases. Component modifications to the B52G system are considered in a prototype example.
UR - http://www.scopus.com/inward/record.url?scp=0024030187&partnerID=8YFLogxK
U2 - 10.1080/00207728808547168
DO - 10.1080/00207728808547168
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AN - SCOPUS:0024030187
SN - 0020-7721
VL - 19
SP - 825
EP - 844
JO - International Journal of Systems Science
JF - International Journal of Systems Science
IS - 6
ER -