Introduction to Operations ResearchCD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 318
Therefore , having a large number of upper bound constraints among the functional constraints greatly increases the computational effort required . The upper bound technique avoids this increased effort by removing the upper bound ...
Therefore , having a large number of upper bound constraints among the functional constraints greatly increases the computational effort required . The upper bound technique avoids this increased effort by removing the upper bound ...
Page 613
Other Options with the Branch - and - Bound Technique This section has illustrated the branch - and - bound technique by describing a basic branch- and - bound algorithm for solving BIP problems . However , the general framework of the ...
Other Options with the Branch - and - Bound Technique This section has illustrated the branch - and - bound technique by describing a basic branch- and - bound algorithm for solving BIP problems . However , the general framework of the ...
Page 640
( a ) Design a branch - and - bound algorithm for sequencing prob- lems of this type by specifying how the branch , bound , and fathoming steps would be performed . ( b ) Use this algorithm to solve this problem . 12.6-9 .
( a ) Design a branch - and - bound algorithm for sequencing prob- lems of this type by specifying how the branch , bound , and fathoming steps would be performed . ( b ) Use this algorithm to solve this problem . 12.6-9 .
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |