Genetics - General and Miscellaneous, Engineering & Computer Technology, Evolutionary Computation & Genetic Algorithms, Engineering - Mathematics & Design
Available on Bookshop
Write a review
Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Log in to track your reading progress.
Overview
A broad survey of the current trends and techniques in genetic algorithms (GAs), which are general purpose search and optimisation methods applicable to a wide variety of problems. Theoretical innovations and practical applications in engineering systems are then discussed in the text.Editorials
Booknews
Nineteen contributors from academia and industry overview the fundamentals of genetic algorithms, a stochastic global search model of biological evolution; contrast GAs with more traditional computer search and optimization methods, and with multiobjective genetic algorithms (MOGAs); discuss new theories regarding constraint resolutions, neural networks, chaotic systems identification, and levels of evolution for control systems; and present engineering/manufacturing applications (e.g. aerodynamic wing design, gas turbine engine control, genetic design of VLSI layouts, job shop scheduling, robotics, and signal processing). SAMUEL, a machine learning program, embodies some of the parameters considered. Annotation c. by Book News, Inc., Portland, Or.Book Details
Published
August 1, 1997
Publisher
Institution of Engineering and Technology
Pages
280
Format
Hardcover
ISBN
9780852969021