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.
Contents
Chapter 1 Industrial Integration
- 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 Optimization
- 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
Highperformance 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