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Evolutionary and Adaptive Computing in Engineering Design

By: Ian Parmee, I. C. Parmee

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Hardcover | 8 June 2001

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Hardcover
308 Pages

Dimensions(cm)
23.5 x 16.51 x 2.54

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Prior to the early 1990s the term 'evolutionary computing' (EC) would have meant little to most practising engineers unless they had a particular interest in emerging computing technologies or were part of an organisation with significant in-house research activities. It was around this time that the first tentative utilisation of relatively simple evolutionary algorithms within engineering design began to emerge in the UK The potential was rapidly recognised especially within the aerospace sector with both Rolls Royce and British Aerospace taking a serious interest while in the USA General Electric had already developed a suite of optimisation software which included evolutionary and adaptiv, e search algorithms. Considering that the technologies were already twenty-plus years old at this point the long gestation period is perhaps indicative of the problems associated with their real-world implementation. Engineering application was evident as early as the mid-sixties when the founders of the various techniques achieved some success with computing resources that had difficulty coping with the population-based search characteristics of the evolutionary algorithms. Unlike more conventional, deterministic optimisation procedures, evolutionary algorithms search from a population of possible solutions which evolve over many generations. This largely stochastic process demands serious computing capability especially where objective functions involve complex iterative mathematical procedures.

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You Can Find This Book In

Non-Fiction Engineering & Technology Technology in General Technical Design Computing & I.T.Graphical & Digital Media Applications Computer-Aided Design CAD Engineering in General Computer Programming & Software Development Algorithms & Data Structures

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Paperback

Published: 8th September 2012

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Introduction
Established Evolutionary Search Algorithms
Adaptive Search and Optimisation Algorithms
Initial Application
The Development of Evolutionary and Adaptive Search Strategies for Engineering Design
Evolutionary Design Space Decomposition
Whole-system Design
Variable-length Hierarchies and System Identification
Evolutionary Constraint Satisfaction and Constrained Optimisation
Multi-objective Satisfaction and Optimisation
Towards Interactive Evolutionary Design Systems
Population-based Search, Shape Optimisation and Computational Expense
Closing Discussion
Some Basic Concepts
Table of Contents provided by Publisher. All Rights Reserved.

Evolutionary and Adaptive Computing in Engineering Design

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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