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 333
... goals instead of a single objective . In this book , we only consider linear goal programming - those goal programming problems that fit linear programming otherwise ( each objective function is linear , etc. ) and so we will drop the ...
... goals instead of a single objective . In this book , we only consider linear goal programming - those goal programming problems that fit linear programming otherwise ( each objective function is linear , etc. ) and so we will drop the ...
Page 333
... goal sets an upper limit that we do not want to exceed ( but falling under the limit is fine ) . 3. A two - sided goal sets a specific target that we do not ... goal programming 7.5 LINEAR GOAL PROGRAMMING AND ITS SOLUTION PROCEDURES 333.
... goal sets an upper limit that we do not want to exceed ( but falling under the limit is fine ) . 3. A two - sided goal sets a specific target that we do not ... goal programming 7.5 LINEAR GOAL PROGRAMMING AND ITS SOLUTION PROCEDURES 333.
Page 346
... goal established by the government for each of these factors . Contribution per 1,000 Acres Crop : Factor 1 2 3 Foreign capital $ 3,000 Citizens fed 150 Citizens employed 10 $ 5,000 75 15 $ 4,000 100 12 Goal > $ 70,000,000 ≥ 1,750,000 ...
... goal established by the government for each of these factors . Contribution per 1,000 Acres Crop : Factor 1 2 3 Foreign capital $ 3,000 Citizens fed 150 Citizens employed 10 $ 5,000 75 15 $ 4,000 100 12 Goal > $ 70,000,000 ≥ 1,750,000 ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero