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Augmented penalty/equality relaxation

Viswanathan and Grossmann (1990) proposed introducing slacks in the MILP master problem to reduce the likelihood of cutting off feasible solutions. This master problem (augmented penalty/equality relaxation) (APER) has the following form ... [Pg.205]

The MINLP-problems were implemented in GAMS [7, 8] and solved by the outer approximation/equality relaxation/augmented penalty-method [9] as implemented in DICOPT. The algorithm generates a series of NLP and MILP subproblems, which were solved by the generalized reduced gradient method [10] as implemented in CONOPT and the integrality relaxation based branch and cut method as... [Pg.155]

Outer Approximation/Equality Relaxation/Augmented Penalty... [Pg.156]

Outer Approximation with Equality Relaxation and Augmented Penalty, OA7ER/AP (Viswanathan and Grossmann, 1990)... [Pg.112]

Section 6.6 discusses the Outer Approximation with Equality Relaxation and Augmented Penalty OA/ER/AP approach. In Sections 6.6.1 and 6.6.2 the formulation and basic idea are presented, while in section 6.6.3 the master problem is derived. Section 6.6.4 presents the OA/ER/AP algorithm and illustrates it with a nonconvex example problem. The reader is referred to the suggested references in sections 6.4,6.5 and 6.6 for further reading in the outer approximation based algorithms. [Pg.211]

MINOPT (Mixed Integer Nonlinear OPTimizer) is written entirely in C and solves MINLP problems by a variety of algorithms that include (i) the Generalized Benders Decomposition GBD, (ii) the Outer Approximation with Equality Relaxation OA/ER, (iii) the Outer Approximation with Equality Relaxation and Augmented Penalty OA/ER/AP, and (iv) the Generalized Cross Decomposition GCD. [Pg.257]

Once an initial solution is incorporated into the MINLP model, the model is solved via the DICOPT solver employing the Outer approximation algorithm for equality relaxation and augmented penalty (OA/ER/AP). [Pg.229]


See other pages where Augmented penalty/equality relaxation is mentioned: [Pg.212]    [Pg.212]    [Pg.156]    [Pg.109]    [Pg.466]    [Pg.196]   


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Augmentative

Augmented

Augmenting

Equal

Equaling

Equality

Equalization

Penalty

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