Titlebook: Global Optimization in Engineering Design; Ignacio E. Grossmann Book 1996 Springer Science+Business Media Dordrecht 1996 RSI.algorithms.ca

Oratory

Vertical

小丑

,Global Optimization of Nonconvex MINLP’s by Interval Analysis,oposed within the framework of interval analysis for partitioning the search space. Furthermore, infeasible search spaces are eliminated without directly checking the constraints. Illustrative examples are solved to demonstrate the applicability of the proposed algorithm to solve nonconvex MINLPs efficiently.

跟隨

Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design, global optimization properties are retained. Exploiting the fact that an exact approximation is not required for exchangers in non-bottleneck periods leads to a reduction in number of partitions required to reach the global optimum.

MOTIF

Alternative Bounding Approximations for the Global Optimization of Various Engineering Design Probllaxations include linear and nonlinear underestimator problems. Reformulations that generate additional estimator functions are also employed. Examples from structural design, batch processes, portfolio investment and layout design are presented.

FECT

Book 1996. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu- tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, fini

CARK

榮幸

Planning of Chemical Process Networks via Global Concave Minimization, In addition, computational results demonstrate that the proposed algorithm is very efficient as, for a number of problems from the literature, it outperforms OSL, a popular integer programming package. We also develop a procedure for generating test problems of this kind.

puzzle

Congruous

Branch and Bound for Global NLP: New Bounding LP,uilibrium problems [5, 15, 16], complex reactor networks [5], heat exchanger networks [5, 23, 38], pool blending [36, 37], and flowsheet optimization [5, 28]. Reviews of the applications of general nonlinear and bilinear programs are available in [1, 5].