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Linear programming software

Now, the objective function of utility cost can be minimized subject to the set of constraints (9.10)-(9.18), This formulation is a linear program which can be solved using commercially available software (e.g., LINGO). [Pg.231]

The optimization of value-added processes is a subject that scientists all over the world have been dealing with for more than 70 years. The first basic algorithms for so-called Linear Programming (LP) were developed at American and European universities already in the 1930s, for the first time allowing the planning and simulation of simple business processes. LP soon became the base of the first software systems and even today almost all Supply Chain Management (SCM) or... [Pg.59]

The NLP solver used by GAMS in this example is CONOPT2, which implements a sparsity—exploiting GRG algorithm (see Section 8.7). The mixed-integer linear programming solver is IBM s Optimization Software Library (OSL). See Chapter 7 for a list of commercially available MILP solvers. [Pg.370]

Set the linear- or log-ramp toggle, if present, to linear. Program the software for the desired test temperature. [Pg.1147]

ILOG CPLEX 8.100 IBM Provides flexible, high-performance mathematical programming solvers for linear programming (http //www-Ol.ibm.com/software/integration/ optimization/ cplex-optimizer/)... [Pg.25]

Fouier, R. (1983), Modeling Languages versus Matrix Generators for Linear Programming, ACM Transactions on Mathematical Software, Vol. 9, pp. 143-183. [Pg.2538]

Because linear programs are the best solved of all optimization problems (see Chapter 97), linear programming relaxations can be optimized for very large models. For this reason, ILP)s are by far the most commonly employed relaxations, and they form the core of most commercial software for discrete optimization. [Pg.2586]

Linearity, in measurement systems, 1879 Linear models, 2524-2525 Linear optimization, see Linear programming Linear position transducers, 1902 Linear programming (LP), 1725-1726, 2055-2056, 2524-2538 and additivity, 2525-2526 applications of, 2538 computer software for, 2534-2536 discrete optimization, see Discrete optimization... [Pg.2746]

We adopted linear programming to obtain the minimum and maximum of membership functions, and we used LINGO software to solve the model. The results are summarized in Table 4. [Pg.487]

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