Multicriteria Optimization In Engineering And In The Sciences
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Multicriteria Optimization In Engineering And In The Sciences
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Author : Wolfram Stadler
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-14
Multicriteria Optimization In Engineering And In The Sciences written by Wolfram Stadler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-14 with Mathematics categories.
We are rarely asked to. make decisions based on only one criterion; most often, decisions are based on several usually confticting, criteria. In nature, if the design of a system evolves to some final, optimal state, then it must include a balance for the interaction of the system with its surroundings certainly a design based on a variety of criteria. Furthermore, the diversity of nature's designs suggests an infinity of such optimal states. In another sense, decisions simultaneously optimize a finite number of criteria, while there is usually an infinity of optimal solutions. Multicriteria optimization provides the mathematical framework to accommodate these demands. Multicriteria optimization has its roots in mathematical economics, in particular, in consumer economics as considered by Edgeworth and Pareto. The critical question in an exchange economy concerns the "equilibrium point" at which each of N consumers has achieved the best possible deal for hirnself or herself. Ultimately, this is a collective decision in which any further gain by one consumer can occur only at the expense of at least one other consumer. Such an equilibrium concept was first introduced by Edgeworth in 1881 in his book on mathematical psychics. Today, such an optimum is variously called "Pareto optimum" (after the Italian-French welfare economist who continued and expanded Edgeworth's work), "effi. cient," "nondominated," and so on.
Multicriteria Optimization In Engineering And In The Sciences
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Author : Wolfram Stadler
language : en
Publisher: Springer Science & Business Media
Release Date : 1988-03-31
Multicriteria Optimization In Engineering And In The Sciences written by Wolfram Stadler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-03-31 with Mathematics categories.
We are rarely asked to. make decisions based on only one criterion; most often, decisions are based on several usually confticting, criteria. In nature, if the design of a system evolves to some final, optimal state, then it must include a balance for the interaction of the system with its surroundings certainly a design based on a variety of criteria. Furthermore, the diversity of nature's designs suggests an infinity of such optimal states. In another sense, decisions simultaneously optimize a finite number of criteria, while there is usually an infinity of optimal solutions. Multicriteria optimization provides the mathematical framework to accommodate these demands. Multicriteria optimization has its roots in mathematical economics, in particular, in consumer economics as considered by Edgeworth and Pareto. The critical question in an exchange economy concerns the "equilibrium point" at which each of N consumers has achieved the best possible deal for hirnself or herself. Ultimately, this is a collective decision in which any further gain by one consumer can occur only at the expense of at least one other consumer. Such an equilibrium concept was first introduced by Edgeworth in 1881 in his book on mathematical psychics. Today, such an optimum is variously called "Pareto optimum" (after the Italian-French welfare economist who continued and expanded Edgeworth's work), "effi. cient," "nondominated," and so on.
Engineering Optimization
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Author : Singiresu S. Rao
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-30
Engineering Optimization written by Singiresu S. Rao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-30 with Technology & Engineering categories.
The revised and updated new edition of the popular optimization book for engineers The thoroughly revised and updated fifth edition of Engineering Optimization: Theory and Practice offers engineers a guide to the important optimization methods that are commonly used in a wide range of industries. The author—a noted expert on the topic—presents both the classical and most recent optimizations approaches. The book introduces the basic methods and includes information on more advanced principles and applications. The fifth edition presents four new chapters: Solution of Optimization Problems Using MATLAB; Metaheuristic Optimization Methods; Multi-Objective Optimization Methods; and Practical Implementation of Optimization. All of the book's topics are designed to be self-contained units with the concepts described in detail with derivations presented. The author puts the emphasis on computational aspects of optimization and includes design examples and problems representing different areas of engineering. Comprehensive in scope, the book contains solved examples, review questions and problems. This important book: Offers an updated edition of the classic work on optimization Includes approaches that are appropriate for all branches of engineering Contains numerous practical design and engineering examples Offers more than 140 illustrative examples, 500 plus references in the literature of engineering optimization, and more than 500 review questions and answers Demonstrates the use of MATLAB for solving different types of optimization problems using different techniques Written for students across all engineering disciplines, the revised edition of Engineering Optimization: Theory and Practice is the comprehensive book that covers the new and recent methods of optimization and reviews the principles and applications.
Impact Of Scientific Computing On Science And Society
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Author : Pekka Neittaanmäki
language : en
Publisher: Springer Nature
Release Date : 2023-07-07
Impact Of Scientific Computing On Science And Society written by Pekka Neittaanmäki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-07 with Technology & Engineering categories.
This book analyzes the impact of scientific computing in science and society over the coming decades. It presents advanced methods that can provide new possibilities to solve scientific problems and study important phenomena in society. The chapters cover Scientific computing as the third paradigm of science as well as the impact of scientific computing on natural sciences, environmental science, economics, social science, humanistic science, medicine, and engineering. Moreover, the book investigates scientific computing in high performance computing, quantum computing, and artificial intelligence environment and what it will be like in the 2030s and 2040s.
Multicriteria Optimization
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Author : Nodari Vakhania
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-11-26
Multicriteria Optimization written by Nodari Vakhania and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Mathematics categories.
Multi-criteria optimization problems naturally arise in practice when there is no single criterion for measuring the quality of a feasible solution. Since different criteria are contradictory, it is difficult and often impossible to find a single feasible solution that is good for all the criteria. Hence, some compromise is needed. As such, this book examines the commonly accepted compromise of the traditional Pareto-optimality approach. It also proposes one new alternative approach for generating feasible solutions to multi-criteria optimization problems. Finally, the book presents two chapters on the existing solution methods for two real-life, multi-criteria optimization problems.
Structural Dynamic Systems Computational Techniques And Optimization
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Author : Cornelius T. Leondes
language : en
Publisher: CRC Press
Release Date : 1999-02-22
Structural Dynamic Systems Computational Techniques And Optimization written by Cornelius T. Leondes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-02-22 with Technology & Engineering categories.
Formulation of an optimal dynamic structural system design problem requires identification of design variables that describe the structural system, a cost function that needs to be minimized, and performance and safety constraints for the system. The formulation of the problem depends upon the type of application and objectives to be achieved, i.e., the shape, the sizing, or topology design problem. Specific design variable definition, cost of function and constraints are dictated by the application. This volume is a comprehensive treatment of the general methods involved in this broadly fundamental problem and provides essential techniques in specific but pervasive structural dynamic systems elements and their optimization.
Model Based Calibration Of Automated Transmissions
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Author : Huang, Hua
language : en
Publisher: Universitätsverlag der TU Berlin
Release Date : 2016-11-18
Model Based Calibration Of Automated Transmissions written by Huang, Hua and has been published by Universitätsverlag der TU Berlin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-18 with Technology & Engineering categories.
With continuous restrictions on emission standards and demands for higher driving comfort, the calibration of shift quality is linked deeply and widely to automated transmission control algorithms. This calibration process is typically implemented with real vehicles on the road under poorly reproducible conditions, where the calibration engineer has no other choice but to try different control parameters till the subjective assessment on the shift quality meets certain requirements, such as shifting comfort or sportiness. Compared with today’s multiplying number of variants in vehicle-engine-transmission combinations and exponential growth of control parameters, this traditional method is backward and costly. An efficient way to rise to the challenge is the model-based automatic calibration. In contrast to the conventional shift quality calibration, this novel method uses a closed loop approach based on a dynamic model instead of human know-how. A shift quality correlated position trajectory is proposed. Compared to the traditional control parameter adjustment method, the guided trajectory has a higher tolerance to the system’s hardware components and a better compatibility with TCUs from diverse suppliers. Since shift quality is not restricted to a general summarized grade, e.g., comfort and sportiness are always two conflicting influence factors in the terms of shift quality calibrations, a multi-objective evolutionary algorithm is applied to search the set of Pareto-optimal front, which includes all the optimal compromised control parameters of the gear shifting trajectory for possible choice. In this work a hydro-mechanical AMT synchronization system is used as an example to explain the proposed optimization process. A Modelica® based non-linear hydro-mechanical AMT system is modeled, which describes the transient behavior during gear shifting in detail. An effective fuzzy sliding-mode position controller is designed for the referenced position tracking during synchronization; in contrast to the conventional trial-and-error tuning method, a genetic algorithm is applied to automatically identify and optimize the sliding-mode controller parameters. A novel multi-objective evolutionary algorithm, MLIA, is developed to find out the optimal control set for the synchronization trajectories. Verification at a transmission test bench shows that this model-based multi-objective optimization method has a guiding capability in automated transmission calibration. Mit deutlich strengeren gesetzlichen Anforderungen hinsichtlich der Abgasemissionen und einer zunehmend anspruchsvolleren Nachfrage bezüglich des Fahrkomforts, rückt die Frage nach der Schaltqualität stärker in den Fokus der Getriebeentwicklung. Die Kalibrierung (umgangssprachlich die Applikation) ist deshalb ein Schwerpunkt bei der Entwicklung von Algorithmen für die Schaltqualität von automatisierten Getriebesteuerungen. Der Kalibrierungsprozess wird in der Regel im Fahrzeugversuch auf der Straße durchgeführt. Der Applikationsingenieur versucht unter diesen nicht reproduzierbaren Bedingungen verschiedene Steuerparameter zu adaptieren. Dies wird für eine Schaltung solange durchgeführt bis die subjektive Beurteilung der Schaltqualität und die zugehörigen Eigenschaften, wie zum Beispiel Schaltkomfort und Sportlichkeit, erfüllt ist. Dieser beschriebene Prozess ist zeit- und personalaufwendig, was mit dem aktuellen Angebot an Motor-Getriebe-Fahrzeugvarianten kaum bewältigt werden kann. Als weitere Herausforderung steigt die Anzahl der kalibrierbaren Parameter der Regler- und Steuerungsmethoden stetig um die Kundenbedürfnisse zu befriedigen, weshalb auch aus Kostensicht ein besserer Prozess gefunden werden muss. Eine effiziente Möglichkeit zur Lösung der skizzierten Problemstellungen ist die modellbasierte automatische Kalibrierung. Im Gegensatz zu der herkömmlich auf Fahrversuche basierende Kalibrierung der Schaltqualität verwendet dieses neue Verfahren ein dynamisches Modell in einer geschlossenen Schleife. Anstelle des Applikationsingenieurs für die Fahrvorgaben wird in der Schleife ein Fahrerregler und ein Optimierungsalgorithmus verwendet, um so eine hohe Reproduzierbarkeit des Schaltereignisses sicherzustellen. Es wird vorgeschlagen, die Bewegung der Schaltstellung zu optimieren, da diese mit der Schaltqualität korreliert. Diametral steht dem die allgemein übliche Regleranpassung verschiedener Parameter für die Synchronisation gegenüber. Die vorgeschlagene Methode der geführten Schaltbewegung weist eine deutlich höhere Toleranz gegenüber der Varianz an Hardwarekomponenten und damit eine bessere Kompatibilität zu den Getriebesteuergeräten (TCUs) verschiedener Lieferanten auf. Die Schaltqualität lässt sich nicht auf ein subjektives Kriterium zusammenfassen, es werden immer unterschiedliche Faktoren wie z.B. Komfort und Sportlichkeit den Schaltvorgang bestimmen. Deshalb wird für die Optimierung des Schaltvorgangs eine mehrkriterieller evolutionärer Algorithmus angewandt, um die Paretofront zu identifizieren, was alle Kompromisse der Schaltbewegungsregelung einschließt. Es wird ein Modell eines hydromechanischen Synchronisationssystems für ein automatisiertes Getriebe als Beispielanwendung benutzt, um den vorgeschlagenen Optimierungsprozess zu demonstrieren. Das nichtlineare hydromechanische Synchronisationssystem wird mit der objektorientierten Sprache Modelica® modelliert. Mit dem Modell werden Schaltvorgänge detailliert beschrieben. Ein Fuzzy-Sliding-Mode-Regler wird für die jeweilige Bewegung der Schaltung während der Synchronisation benutzt. Im Gegensatz zur herkömmlichen empirischen Anpassung der Reglerparameter wird ein genetischer Algorithmus angewendet, um die automatische Erkennung und Bewertung der Parameter vom Fuzzy-Sliding-Mode-Regler zu optimieren. Ein neuartiger evolutionärer mehrkriterieller Algorithmus (MLIA) wurde angewandt, um eine optimale Bewegung der Schaltstellung während der Synchronisierung zu finden. Die Validierung am Getriebeprüfstand zeigt, dass diese modellbasierte Methode der mehrkriteriellen Optimierung in der automatisierten Getriebekalibrierung eine deutliche Verbesserung darstellt.
Introduction To Optimum Design
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Author : Jasbir Singh Arora
language : en
Publisher: Academic Press
Release Date : 2016-04-05
Introduction To Optimum Design written by Jasbir Singh Arora and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-05 with Technology & Engineering categories.
Introduction to Optimum Design, Fourth Edition, carries on the tradition of the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level in engineering departments of all disciplines, with a primary focus on mechanical, aerospace, and civil engineering courses. Through a basic and organized approach, the text describes engineering design optimization in a rigorous, yet simplified manner, illustrates various concepts and procedures with simple examples, and demonstrates their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text using Excel and MATLAB as learning and teaching aids. This fourth edition has been reorganized, rewritten in parts, and enhanced with new material, making the book even more appealing to instructors regardless of course level. - Includes basic concepts of optimality conditions and numerical methods that are described with simple and practical examples, making the material highly teachable and learnable - Presents applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems - Provides practical design examples that introduce students to the use of optimization methods early in the book - Contains chapter on several advanced optimum design topics that serve the needs of instructors who teach more advanced courses
Introduction To Optimum Design
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Author : Jasbir Arora
language : en
Publisher: Academic Press
Release Date : 2011-08-17
Introduction To Optimum Design written by Jasbir Arora and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-17 with Mathematics categories.
Introduction to Optimum Design is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrate various concepts and procedures with simple examples, and demonstrate their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured throughout as learning and teaching aids. The 3rd edition has been reorganized and enhanced with new material, making the book even more appealing to instructors regardless of the level they teach the course. Examples include moving the introductory chapter on Excel and MATLAB closer to the front of the book and adding an early chapter on practical design examples for the more introductory course, and including a final chapter on advanced topics for the purely graduate level course. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable. Applications of the methods for structural, mechanical, aerospace and industrial engineering problems. Introduction to MATLAB Optimization Toolbox. Optimum design with Excel Solver has been expanded into a full chapter. Practical design examples introduce students to usage of optimization methods early in the book. New material on several advanced optimum design topics serves the needs of instructors teaching more advanced courses.
Evolutionary Multi Criterion Optimization
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Author : Shigeru Obayashi
language : en
Publisher: Springer
Release Date : 2007-05-20
Evolutionary Multi Criterion Optimization written by Shigeru Obayashi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-20 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. The 65 revised full papers presented together with 4 invited papers are organized in topical sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, many objectives, objective handling, and performance assessments.