| dc.creator |
Ramakrishnan, V. S. |
|
| dc.creator |
Shapiro, Jeremy F., 1939- |
|
| dc.date |
2004-05-28T19:33:39Z |
|
| dc.date |
2004-05-28T19:33:39Z |
|
| dc.date |
1991-08 |
|
| dc.date.accessioned |
2013-10-09T02:39:01Z |
|
| dc.date.available |
2013-10-09T02:39:01Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/5322 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
A new method for multi-objective optimization of linear and mixed programs based on Lagrange multiplier methods is developed. The method resembles, but is distinct from, objective function weighting and goal programming methods. A subgradient optimization algorithm for selecting the multipliers is presented and analyzed. The method is illustrated by its application to a model for determining the weekly re-distribution of railroad cars from excess supply areas to excess demand areas, and to a model for balancing cost minimization against order completion requirements for a dynamic lot size model. |
|
| dc.format |
1442328 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.publisher |
Massachusetts Institute of Technology, Operations Research Center |
|
| dc.relation |
Operations Research Center Working Paper;OR 258-91 |
|
| dc.subject |
Programming: linear and integer, multiple criteria, relaxation/subgradient. |
|
| dc.title |
Analyzing Multi-Objective Linear and Mixed Integer Programs by Lagrange Multipliers |
|
| dc.type |
Working Paper |
|