Office of Academic Resources
Chulalongkorn University
Chulalongkorn University

Home / Help

TitleGlobal Optimization in Engineering Design [electronic resource] / edited by Ignacio E. Grossmann
ImprintBoston, MA : Springer US : Imprint: Springer, 1996
Connect tohttp://dx.doi.org/10.1007/978-1-4757-5331-8
Descript X, 388 p. online resource

SUMMARY

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 soluยญ 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 programยญ 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 techยญ niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engiยญ 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


CONTENT

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 MINLPโ{128}{153}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


Computer science Operations research Decision making Chemical engineering Software engineering Mathematical optimization Engineering design Computer Science Software Engineering/Programming and Operating Systems Optimization Industrial Chemistry/Chemical Engineering Engineering Design Operation Research/Decision Theory



Location



Office of Academic Resources, Chulalongkorn University, Phayathai Rd. Pathumwan Bangkok 10330 Thailand

Contact Us

Tel. 0-2218-2929,
0-2218-2927 (Library Service)
0-2218-2903 (Administrative Division)
Fax. 0-2215-3617, 0-2218-2907

Social Network

  line

facebook   instragram