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標題: Titlebook: Global Optimization in Engineering Design; Ignacio E. Grossmann Book 1996 Springer Science+Business Media Dordrecht 1996 RSI.algorithms.ca [打印本頁]

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書目名稱Global Optimization in Engineering Design影響因子(影響力)




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書目名稱Global Optimization in Engineering Design讀者反饋




書目名稱Global Optimization in Engineering Design讀者反饋學科排名





作者: 改革運動    時間: 2025-3-21 23:59

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作者: 虛情假意    時間: 2025-3-22 05:00
Solving Nonconvex Process Optimisation Problems Using Interval Subdivision Algorithms,l framework. The method can be used to solve general nonconvex problems and provides guarantees that solutions are globally optimal. Aspects of the Interval Subdivision method are presented with the results of their application to some illustrative test problems. The results show the care that must
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作者: legitimate    時間: 2025-3-22 20:09
Global Optimization for Stochastic Planning, Scheduling and Design Problems, multiproduct/multipurpose plants operating in either continuous or batch mode. For stochastic linear planning models, it is shown that based on a two-stage stochastic programming formulation, a decomposition based global optimization approach can be developed to obtain the plan with the maximum exp
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Alternative Bounding Approximations for the Global Optimization of Various Engineering Design Problctional and bilinear terms, and it explores the use of alternative bounding approximations. These are applied in the global optimization of problems arising in different engineering areas and for which different relaxations are proposed depending on the mathematical structure of the models. These re
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A Pipe Reliability and Cost Model for an Integrated Approach Toward Designing Water Distribution Sy such as reservoirs and water towers with demand points such as residential homes, industrial sites and fire hydrants. These systems are extremely expensive to install, with costs running in the tens of millions of dollars. Several optimization models and algorithms have been developed to generate a
作者: 嫌惡    時間: 2025-3-23 11:06
Global Optimisation of General Process Models, other applications. A major difficulty in this context is that the methods currently available are applicable only to rather restricted classes of problems. We therefore present a symbolic manipulation algorithm for the automatic reformulation of an algebraic constraint of arbitrary complexity invo
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Armando Vieira,Bernardete Ribeirothrough a series of primal and relaxed dual subproblems that provide upper and lower bounds on the global solution. Visweswaran and Floudas (1995a) proposed a reformulation of the algorithm in the framework of a branch and bound approach that allows for an easier implementation. They also proposed a
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作者: 注意力集中    時間: 2025-3-25 19:08
Branch and Bound for Global NLP: Iterative LP Algorithm & Results,This chapter presents a branch and bound algorithm for global solution of nonconvex nonlinear programs The algorithm utilizes the covering program developed in the previous chapter to compute bounds over rectangular domain partitions. An adaptive rectangular partitioning strategy is employed to locate and verify a global solution.
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978-1-4419-4754-3Springer Science+Business Media Dordrecht 1996
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作者: 發(fā)酵    時間: 2025-3-26 10:56
Introduction to Deep Learning Using Rbe taken in constructing inclusion functions and demonstrate the effects of some different implementation decisions. Some particular difficulties of applying the method to constrained problems are brought to light by the results.
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https://doi.org/10.1007/978-1-4842-2565-3 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.
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作者: Vertical    時間: 2025-3-27 03:04

作者: 小丑    時間: 2025-3-27 05:50
,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.
作者: 跟隨    時間: 2025-3-27 09:42
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.
作者: MOTIF    時間: 2025-3-27 15:22
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.
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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
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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.
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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].
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作者: 吊胃口    時間: 2025-3-28 22:17
1571-568X em. 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- niqu978-1-4419-4754-3978-1-4757-5331-8Series ISSN 1571-568X
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Global Optimization for Stochastic Planning, Scheduling and Design Problems,ic demands. In both cases, it is shown that such relaxed reformulations can be solved to global optimality, since despite the presence of stochastic parameters the convexity properties of the original deterministic (i.e. without uncertainty) models are fully preserved. Finally, for the case of batch
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Introduction to Dependent Types with Idrisic demands. In both cases, it is shown that such relaxed reformulations can be solved to global optimality, since despite the presence of stochastic parameters the convexity properties of the original deterministic (i.e. without uncertainty) models are fully preserved. Finally, for the case of batch




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