Optimization in Industry (eBook, PDF)

Redaktion: Parmee, Ian; Hajela, Prabhat

• Format: PDF

Produktbeschreibung

Optimization in Industry comprises a collection of papers presented at the third US United Engineering Foundation's 'Optimization in Industry' Conference. The main thrust of this, the third conference of the series is related to engineering optimization including both manufacture and parametric design. The papers included explore the relationships between well-established deterministic optimization methods and the emerging stochastic and mainly population-based search and optimization algorithms. A mix of approaches across a wide range of engineering disciplines is included. It illustrates the manner in which various techniques can be utilised either in a stand-alone manner or within hybrid systems to give best performance in terms of optimal design and computational efficiency. The papers span scientific, application, awareness/information dissemination and industrial requirements areas. They provide information on available search and optimization techniques and their application to specific design problems and across the field of manufacturing generally. Papers identifying and dealing with problems of incorporating novel optimization techniques within day-to-day design practice and industrial software requirements are also included. The book will thus be of interest to both the industrial and academic communities.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 341
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781447106753
• Artikelnr.: 44179430

Inhaltsangabe

1 Industrial Integration.- 1.1. Optimization: The Competitive Edge.- 1.2. Optimization in Industry - What Does Industry Really Need?.- 1.3. Take-up and Adoption of Optimisation Technology for Engineering Design.- 1.4. Structural Optimization of Industrial Engineering Problems with General-purpose Optimization Procedures.- 2 Problem Representation Issues.- 2.1. Genetic Algorithms Solve Combinatorial Optimisation Problems in the Calibration of Combustion Engines.- 2.2. Integrated Computational Mechanics and Optimization for Design of Electronic Components.- 2.3. Robust Calibration of Computer Models of Engineering Networks with Limited Data.- 2.4. Aerodynamic Shape Optimisation Using Evolutionary Strategies.- 2.1. Time-saving Robust Design Considering Vehicle Crash Performance.- 2.2. Strategies for Structural and Thermal Optimization in the Field of Automotive Radio and Navigation Systems.- 3 Multi-objective Optimization.- 3.1. Optimal Positioning of Clamps for Workpiece Adjustment Using Multi-objective Evolutionary Computation.- 3.2. The Maximin Fitness Function for Multiobjective Evolutionary Optimization.- 3.3. Gas-assisted Injection Molding Optimisation with MOGA.- 3.4. Aerodynamic Optimization for the Transonic Compressor Stator Blade.- 4 Design Search and Exploration.- 4.1. The Direct Synthesis of Optimal Design Solutions for Complex Systems.- 4.2. Improving Cluster Oriented Genetic Algorithms for High- performance Region Identification.- 4.3. Search Efficiency in Genetic Algorithms.- 4.4. Evolutionary Computing Strategies for Preliminary Design Search and Exploration.- 5 General Applications.- 5.1. Improving the Optimisation of Engineering Structures Using the Self-designing Structures Approach.- 5.2. Running Characteristics of Spherical Plain Bearings for theOptimisation of Housings.- 5.3. An Optimization Model for Investment in Ethylene Derivatives.- 5.4. GA-Based Industrial Actuator Design for Optimum Control of Vibration in Flexible Structures.- 6 The Right Tools for the Job.- 6.1. Old and New Non-gradient Methods in Structural Engineering Optimisation.- 6.2. Multidisciplinary Design Optimisation of an Aircraft Wing by Applying a Hybrid Optimisation Strategy.- 6.3. Industrial Applications of Evolutionary Algorithms: A Comparison to Traditional Methods.- 6.4. Optimisation Techniques for Industrial Spring Design.- 7 Discussion Papers.- 7.1. Industrial Integration.- 7.2. Problem Representation in Design Optimisation.- 7.3. Multi-objective Optimization (MO).- 7.4. Detailed Design Optimisation.- Index of Contributors.