Development Of A Kriging Based Metamodel For Global Optimization

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Development of a Kriging-based Metamodel for Global Optimization

Author : Johar Daudi
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659543326
Total Pages : 104 pages
Book Rating : 4.5/5 (433 download)

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Book Synopsis Development of a Kriging-based Metamodel for Global Optimization by : Johar Daudi

Download or read book Development of a Kriging-based Metamodel for Global Optimization written by Johar Daudi and published by LAP Lambert Academic Publishing. This book was released on 2014-05-16 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global Optimization is a mathematical tool to find the best possible solution for non linear system being used in different fields of life. Sometimes the cost and complexity associated with the optimization algorithms increases with increasing the complexity of the desired optimization problem. Engineering community is using such Meta Modeling techniques in design problems to replace the system function with an appropriate surrogate model improve the efficiency in simulation and optimization. This research study shows development and implementation of a Meta Model and its utilization for Global Optimization.

Computational Intelligence in Expensive Optimization Problems

Author : Yoel Tenne
Publisher : Springer Science & Business Media
ISBN 13 : 364210701X
Total Pages : 736 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence in Expensive Optimization Problems by : Yoel Tenne

Download or read book Computational Intelligence in Expensive Optimization Problems written by Yoel Tenne and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation issues on clusters, grids, parallel machines), incorporation of expert systems and human-system interface, single and multiobjective algorithms, data mining and statistical analysis, analysis of real-world cases (such as multidisciplinary design optimization). The edited book provides both theoretical treatments and real-world insights gained by experience, all contributed by leading researchers in the respective fields. As such, it is a comprehensive reference for researchers, practitioners, and advanced-level students interested in both the theory and practice of using computational intelligence for expensive optimization problems.

Experimental Planning and Sequential Kriging Optimization Using Variable Fidelity Data

Author : Deng Huang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (63 download)

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Book Synopsis Experimental Planning and Sequential Kriging Optimization Using Variable Fidelity Data by : Deng Huang

Download or read book Experimental Planning and Sequential Kriging Optimization Using Variable Fidelity Data written by Deng Huang and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Engineers in many industries routinely need to improve the product or process designs using data from the field, lab, and computer experiments. This research seeks to develop experimental planning and optimization schemes using data form multiple experimental sources. We use the term "fidelity" to refer to the extent to which a surrogate experimental system can reproduce results of the system of interest. For experimental planning, we present perhaps the first optimal designs for variable fidelity experimentation, using an extension of the Expected Integrated Mean Squared Error (EIMSE) criterion, where the Generalized Least Squares (GLS) method was used to generate the predictions. Numerical tests are used to compare the method performance with alternatives and to investigate the robustness of incorporated assumptions. The method is applied to automotive engine valve heat treatment process design in which real world data were mixed with data from two types of computer simulations. Sequential Kriging Optimization (SKO) is a method developed in recent years for solving expensive black-box problems. We propose an extension of the SKO method, named Multiple Fidelity Sequential Kriging Optimization (MFSKO), where surrogate systems are exploited to reduce the total evaluation cost. As a pre-step to MFSKO, we extended SKO to address stochastic black-box systems. Empirical studies showed that SKO compared favorably with alternatives in terms of consistency in finding global optima and efficiency as measured by number of evaluations. Also, in the presence of noise, the new expected improvement criterion achieves desired balance between the need for global and local searches. In the proposed MFSKO method, data on all experimental systems are integrated to build a kriging meta-model that provides a global prediction of the system of interest and a measure of prediction uncertainty. The location and fidelity level of the next evaluation are selected by maximizing an augmented expected improvement function, which is connected with the evaluation costs. The proposed method was applied to test functions from the literature and metal-forming process design problems via Finite Element simulations. The method manifests sensible search patterns, robust performance, and appreciable reduction in total evaluation cost as compared to the original method.

Decision Sciences

Author : Raghu Nandan Sengupta
Publisher : CRC Press
ISBN 13 : 1351727400
Total Pages : 936 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Decision Sciences by : Raghu Nandan Sengupta

Download or read book Decision Sciences written by Raghu Nandan Sengupta and published by CRC Press. This book was released on 2016-11-30 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

Kriging Metamodels and Global Optimization in Simulation

Author : Center for Economic Research (Tilburg)
Publisher :
ISBN 13 : 9789056684334
Total Pages : pages
Book Rating : 4.6/5 (843 download)

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Book Synopsis Kriging Metamodels and Global Optimization in Simulation by : Center for Economic Research (Tilburg)

Download or read book Kriging Metamodels and Global Optimization in Simulation written by Center for Economic Research (Tilburg) and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Design and Analysis of Simulation Experiments

Author : Jack P.C. Kleijnen
Publisher : Springer
ISBN 13 : 3319180878
Total Pages : 334 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Design and Analysis of Simulation Experiments by : Jack P.C. Kleijnen

Download or read book Design and Analysis of Simulation Experiments written by Jack P.C. Kleijnen and published by Springer. This book was released on 2015-07-01 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a new edition of Kleijnen’s advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). Altogether, this new edition has approximately 50% new material not in the original book. More specifically, the author has made significant changes to the book’s organization, including placing the chapter on Screening Designs immediately after the chapters on Classic Designs, and reversing the order of the chapters on Simulation Optimization and Kriging Metamodels. The latter two chapters reflect how active the research has been in these areas. The validation section has been moved into the chapter on Classic Assumptions versus Simulation Practice, and the chapter on Screening now has a section on selecting the number of replications in sequential bifurcation through Wald’s sequential probability ration test, as well as a section on sequential bifurcation for multiple types of simulation responses. Whereas all references in the original edition were placed at the end of the book, in this edition references are placed at the end of each chapter. From Reviews of the First Edition: “Jack Kleijnen has once again produced a cutting-edge approach to the design and analysis of simulation experiments.” (William E. BILES, JASA, June 2009, Vol. 104, No. 486)

Optimization of Complex Systems: Theory, Models, Algorithms and Applications

Author : Hoai An Le Thi
Publisher : Springer
ISBN 13 : 3030218031
Total Pages : 1164 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Optimization of Complex Systems: Theory, Models, Algorithms and Applications by : Hoai An Le Thi

Download or read book Optimization of Complex Systems: Theory, Models, Algorithms and Applications written by Hoai An Le Thi and published by Springer. This book was released on 2019-06-15 with total page 1164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France. The book covers both theoretical and algorithmic aspects of Nonconvex Optimization, as well as its applications to modeling and solving decision problems in various domains. It is composed of 10 parts, each of them deals with either the theory and/or methods in a branch of optimization such as Continuous optimization, DC Programming and DCA, Discrete optimization & Network optimization, Multiobjective programming, Optimization under uncertainty, or models and optimization methods in a specific application area including Data science, Economics & Finance, Energy & Water management, Engineering systems, Transportation, Logistics, Resource allocation & Production management. The researchers and practitioners working in Nonconvex Optimization and several application areas can find here many inspiring ideas and useful tools & techniques for their works.

Reliability-Based Analysis and Design of Structures and Infrastructure

Author : Ehsan Noroozinejad Farsangi
Publisher : CRC Press
ISBN 13 : 1000418065
Total Pages : 522 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Reliability-Based Analysis and Design of Structures and Infrastructure by : Ehsan Noroozinejad Farsangi

Download or read book Reliability-Based Analysis and Design of Structures and Infrastructure written by Ehsan Noroozinejad Farsangi and published by CRC Press. This book was released on 2021-09-27 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs. Therefore, the need for accurate and efficient approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes, and operational environments has increased significantly. Reliability-based techniques help develop more accurate initial guidance for robust design and help to identify the sources of significant uncertainty in structural systems. Reliability-Based Analysis and Design of Structures and Infrastructure presents an overview of the methods of classical reliability analysis and design most associated with structural reliability. It also introduces more modern methods and advancements, and emphasizes the most useful methods and techniques used in reliability and risk studies, while elaborating their practical applications and limitations rather than detailed derivations. Features: Provides a practical and comprehensive overview of reliability and risk analysis and design techniques. Introduces resilient and smart structures/infrastructure that will lead to more reliable and sustainable societies. Considers loss elimination, risk management and life-cycle asset management as related to infrastructure projects. Introduces probability theory, statistical methods, and reliability analysis methods. Reliability-Based Analysis and Design of Structures and Infrastructure is suitable for researchers and practicing engineers, as well as upper-level students taking related courses in structural reliability analysis and design.

Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging

Author : Inneke Van Nieuwenhuyse
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (837 download)

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Book Synopsis Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging by : Inneke Van Nieuwenhuyse

Download or read book Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging written by Inneke Van Nieuwenhuyse and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the ... ASME Design Engineering Technical Conferences

Author :
Publisher :
ISBN 13 :
Total Pages : 716 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Proceedings of the ... ASME Design Engineering Technical Conferences by :

Download or read book Proceedings of the ... ASME Design Engineering Technical Conferences written by and published by . This book was released on 2006 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Engineering Design Optimization

Author : Joaquim R. R. A. Martins
Publisher : Cambridge University Press
ISBN 13 : 110898861X
Total Pages : 653 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Engineering Design Optimization by : Joaquim R. R. A. Martins

Download or read book Engineering Design Optimization written by Joaquim R. R. A. Martins and published by Cambridge University Press. This book was released on 2021-11-18 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.

Journal of Mechanical Design

Author :
Publisher :
ISBN 13 :
Total Pages : 818 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Journal of Mechanical Design by :

Download or read book Journal of Mechanical Design written by and published by . This book was released on 2008 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Metamodel-Based Global Optimization Methodologies for High Dimensional Expensive Black-box Problems

Author : Kambiz Haji Hajikolaei
Publisher :
ISBN 13 :
Total Pages : 146 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Metamodel-Based Global Optimization Methodologies for High Dimensional Expensive Black-box Problems by : Kambiz Haji Hajikolaei

Download or read book Metamodel-Based Global Optimization Methodologies for High Dimensional Expensive Black-box Problems written by Kambiz Haji Hajikolaei and published by . This book was released on 2014 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many engineering problems involve high dimensional, computationally expensive, and black-box (HEB) functions such as complex finite element analyses or computational fluid dynamics simulations. Global optimization on HEB problems is challenging since it generally requires a large number of computationally expensive simulations. The aim of this thesis is to tackle optimization on HEB problems. Metamodels are mathematical models that are constructed to approximate black-box and expensive functions. Survey of existing techniques shows that metamodel-based optimization has potential to solve HEB optimization problems. High Dimensional Model Representation (HDMR) metamodeling is chosen from the literature, which is subsequently developed to Principal Component Analysis based HDMR in support of random non-uniform sampling. Also, an adaptively changing basis functions strategy is defined to ensure the orthogonality of basis functions with respect to existing samples in order to achieve the best approximation accuracy for Random Sampling HDMR. Variable correlations revealed through metamodeling are used for decomposing high dimensional problems into smaller sub-problems. Then, sensitivity analysis is used to quantify the intensities of the correlations. For problems in which all correlations are weak or there are a mix of weak and strong correlations, the proposed method is very effective in reducing the total number of function evaluations to achieve a similar accuracy. For problems whose correlations are all strong, the proposed method is not be advantageous. An optimization strategy based on iterative metamodel-supported decomposition is proposed in which the decomposition and optimization phases are performed simultaneously and iteratively, in contrast to a one-time decomposition-optimization process. The results show that except for the category of non-decomposable problems with all or lots of strong correlations, the proposed strategy improves the accuracy of the optimization results noticeably. The developed algorithm is applied to a practical engineering problem to test its effectiveness in real-world applications. An optimal assembly planning problem with a 100-dimensional objective function is optimized using the proposed method. Comparison with other optimization methods results and the baseline values shows significant improvement in the obtained optimum with the same number of function calls. The results represent the state-of-the-art for optimization of HEB problems.

Surrogate Model-Based Engineering Design and Optimization

Author : Ping Jiang
Publisher : Springer Nature
ISBN 13 : 9811507317
Total Pages : 240 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Surrogate Model-Based Engineering Design and Optimization by : Ping Jiang

Download or read book Surrogate Model-Based Engineering Design and Optimization written by Ping Jiang and published by Springer Nature. This book was released on 2019-11-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.

Statistical Methods for QTL Mapping

Author : Zehua Chen
Publisher : CRC Press
ISBN 13 : 0415669863
Total Pages : 944 pages
Book Rating : 4.4/5 (156 download)

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Book Synopsis Statistical Methods for QTL Mapping by : Zehua Chen

Download or read book Statistical Methods for QTL Mapping written by Zehua Chen and published by CRC Press. This book was released on 2013-11-01 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.

Applied Reliability for Industry 1

Author : Abdelkhalak El Hami
Publisher : John Wiley & Sons
ISBN 13 : 1786306913
Total Pages : 260 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Applied Reliability for Industry 1 by : Abdelkhalak El Hami

Download or read book Applied Reliability for Industry 1 written by Abdelkhalak El Hami and published by John Wiley & Sons. This book was released on 2023-05-09 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Reliability for Industry 1 illustrates the multidisciplinary state-of-the-art science of predictive reliability. Many experts are now convinced that reliability is not limited to statistical sciences. In fact, many different disciplines interact in order to bring a product to its highest possible level of reliability, made available through today’s technologies, developments and production methods. These three books, of which this is the first, propose new methods for analyzing the lifecycle of a system, enabling us to record the development phases according to development time and levels of complexity for its integration. Predictive reliability, as particularly focused on in Applied Reliability for Industry 1, examines all the engineering activities used to estimate or predict the reliability performance of the final mechatronic system.

Advances in Structural and Multidisciplinary Optimization

Author : Axel Schumacher
Publisher : Springer
ISBN 13 : 3319679880
Total Pages : 2101 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Structural and Multidisciplinary Optimization by : Axel Schumacher

Download or read book Advances in Structural and Multidisciplinary Optimization written by Axel Schumacher and published by Springer. This book was released on 2017-12-04 with total page 2101 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume includes papers from the WSCMO conference in Braunschweig 2017 presenting research of all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems. Also presented are practical applications of optimization methods and the corresponding software development in all branches of technology.