Evolutionary Multi-Criterion Optimization
Author: Carlos Coello Coello
Publisher: Springer
Published: 2005-01-28
Total Pages: 0
ISBN-13: 9783540318804
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Multi-Objective Optimization in Chemical Engineering
Author: Gade Pandu Rangaiah
Publisher: John Wiley & Sons
Published: 2013-03-20
Total Pages: 487
ISBN-13: 1118341686
DOWNLOAD EBOOKFor reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.
Uncertainty-Based Ship Design Optimization
Author: Zuyuan Liu
Publisher: Springer Nature
Published:
Total Pages: 182
ISBN-13: 9819729734
DOWNLOAD EBOOKEVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
Author: Michael Emmerich
Publisher: Springer
Published: 2017-04-27
Total Pages: 210
ISBN-13: 3319493256
DOWNLOAD EBOOKThis book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.
Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications
Author: Massimiliano Vasile
Publisher: Springer Nature
Published: 2022-01-27
Total Pages: 448
ISBN-13: 3030805425
DOWNLOAD EBOOKThe 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework.
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Author: António Gaspar-Cunha
Publisher: Springer Nature
Published: 2020-11-23
Total Pages: 435
ISBN-13: 3030574229
DOWNLOAD EBOOKThis book presents improved and extended versions of selected papers from EUROGEN 2019, a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.
Multidisciplinary Design Optimization Supported by Knowledge Based Engineering
Author: Jaroslaw Sobieszczanski-Sobieski
Publisher: John Wiley & Sons
Published: 2017-05-08
Total Pages: 400
ISBN-13: 1118897099
DOWNLOAD EBOOKMultidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.
Evolutionary Multi-objective Optimization in Uncertain Environments
Author: Chi-Keong Goh
Publisher: Springer Science & Business Media
Published: 2009-03-09
Total Pages: 273
ISBN-13: 3540959750
DOWNLOAD EBOOKEvolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties.
Aerospace System Analysis and Optimization in Uncertainty
Author: Loïc Brevault
Publisher: Springer Nature
Published: 2020-08-26
Total Pages: 477
ISBN-13: 3030391264
DOWNLOAD EBOOKSpotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties. The book provides approaches to integrating a multitude of components and constraints with the ultimate goal of reducing design cycles. Insights on a vast assortment of problems are provided, including discipline modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range of topics covered include areas of current open research. This Work is destined to become a fundamental reference for aerospace systems engineers, researchers, as well as for practitioners and engineers working in areas of optimization and uncertainty. Part I is largely comprised of fundamentals. Part II presents methodologies for single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the multifidelity, the multi-objective optimization and the mixed continuous/discrete optimization and Part V is devoted to test cases for aerospace vehicle design.
Bridge Optimization
Author: Yun Lai Zhou
Publisher: BoD – Books on Demand
Published: 2020-02-05
Total Pages: 108
ISBN-13: 1789852609
DOWNLOAD EBOOKThis is a collection of several applications for condition monitoring and damage identification in bridge structures. Bridge structural condition monitoring is essential since it can provide early warning of potential defects in bridges, which may induce catastrophic accidents and result in huge economic loss. Such bridge condition monitoring relies on sensing techniques, especially advanced sensing techniques that can provide detailed information on bridge structures. Additionally, postprocessing systems can interpret the captured data and warn of any potential faults. This book will give students a thorough understanding of bridge condition monitoring.
