عنوان

Global Optimization in Engineering Design

شابک

9781441947543

شابک

9781475753318

شماره

dltt

عنوان اصلي

Global Optimization in Engineering Design

نام عام مواد

[Book]

نام نخستين پديدآور

edited by Ignacio E. Grossmann.

محل نشرو پخش و غیره

Boston, MA :

نام ناشر، پخش کننده و غيره

Imprint: Springer,

تاریخ نشرو بخش و غیره

1996.

عنوان فروست

Nonconvex Optimization and Its Applications,

مشخصه جلد

9

شاپا ي ISSN فروست

1571-568X ;

متن يادداشت

1. Branch and Bound for Global NLP: New Bounding LP -- 2. Branch and Bound for Global NLP: Iterative LP Algorithm & Results -- 3. New Formulations and Branching Strategies for the GOP Algorithm -- 4. Computational Results for an Efficient Implementation of the GOP Algorithm and Its Variants -- 5. Solving Nonconvex Process Optimisation Problems Using Interval Subdivision Algorithms -- 6. Global Optimization of Nonconvex MINLP's by Interval Analysis -- 7. Planning of Chemical Process Networks via Global Concave Minimization -- 8. Global Optimization for Stochastic Planning, Scheduling and Design Problems -- 9. Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design -- 10. Alternative Bounding Approximations for the Global Optimization of Various Engineering Design Problems -- 11. A Pipe Reliability and Cost Model for an Integrated Approach Toward Designing Water Distribution Systems -- 12. Global Optimisation of General Process Models.

بدون عنوان

0

متن يادداشت

Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. 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, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years.

شماره استاندارد بين المللي کتاب و موسيقي

9781441947543

عنوان

Springer eBooks

موضوع مستند نشده

Chemical engineering.

موضوع مستند نشده

Engineering design.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

Mathematics.

موضوع مستند نشده

Operations research.

مستند نام اشخاص تاييد نشده

Grossmann, Ignacio E.

مستند نام تنالگان تاييد نشده

SpringerLink (Online service)

تاريخ عمليات

20190301082700.0

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y