Genetic algorithms in engineering systems

The book reviews developments in the following fields: multiobjective genetic algorithms; scaleable neural architecture evolution; chaotic systems identification; job shop scheduling; evolutionary algorithms; aerodynamic inverse optimisation problems; and VLSI layout genetic design.

Bibliographic Details
Other Authors:	Zalzala, A. M. S. (Editor), Fleming, P. J. (Editor)
Format:	Electronic Resource
Language:	English
Published:	London, United Kingdom Institution of Electrical Engineers [1997]
Subjects:	Systems engineering > Mathematics > Congresses. Genetic algorithms > Congresses. Computer-aided engineering > Congresses. Electronic books.
Online Access:	Available for University of the Philippines Diliman via IET Digital Library. Click here to access Also available remotely for University of the Philippines Diliman via IET Digital Library. Click here to access thru EZproxy