Optimization in Industry
Paperback Engels 2002 9781852335342Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
Optimization: The Competitive Edge
Optimization in Industry - What Does Industry Really Need?
Take-up and Adoption of Optimisation Technology for Engineering Design
StructuraI Optimization of Industrial Engineering Problems with General-purpose Optimization Procedures
Chapter 2 Problem Representation Issues
Genetic Algorithms Solve Combinatorial Optimisation Problems in the Calibration of Combustion Engines
Integrated Computational Mechanics and Optimization for Design of Electronic Components
Robust Calibration of Computer Models of Engineering Networks with Limited Data
Aerodynamic Shape Optimisation using Evolutionary Strategies
Time-saving Robust Design Considering Vehicle Crash Performance
Strategies for Structural and Thermal Optimization in the Field of Automotive Radio and Navigation Systems
Chapter 3 Multi-objective Optimisation
Optimal Positioning of Clamps for Workpiece Adjustment using Multi-Objective Evolutionary Computation
The Maximin Fitness Function for Multiobjective Evolutionary Optimization
Gas-assisted Injection Molding Optimisation with MOGA
Aerodynamic Optimization for the Transonic Compressor Stator Blade
Chapter 4 Design Search and Exploration
The Direct Synthesis of Optimal Design Solutions For Complex Systems
Improving Cluster Oriented Genetic Algorithms for High-performance Region Identification
Search Efficiency in Genetic Algorithms
Evolutionary Computing Strategies for Preliminary Design Search and Exploration
Chapter 5 General Applications
Improving the Optimisation of Engineering Structures using the Self-Designing Structures Approach
Running characteristics of spherical plain bearings for the optimisation of housings
An Optimization Model for Investment in Ethylene Derivatives
GA-based Industrial Actuator Design for Optimum Control of Vibration In Flexible Structures
Chapter 6 The Right Tools for the Job
Old and New Non-Gradient Methods in Structural Engineering Optimisation
Multidisciplinary Design Optimisation of an Aircraft Wing by Applying a Hybrid Optimisation Strategy
Industrial Applications of Evolutionary Algorithms: A Comparison to Traditional Methods
Optimisation Techniques for Industrial Spring Design
Chapter 7 Discussion Papers
Industrial Integration
Problem Representation in Design Optimisation
Multi-objective Optimization (MO)
Detailed Design Optimisation
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