Evolutionary Optimization for Computational Electromagnetics

Evolutionary Optimization for Computational Electromagnetics
Author :
Publisher :
Total Pages : 154
Release :
ISBN-10 : OCLC:838552063
ISBN-13 :
Rating : 4/5 (63 Downloads)

Book Synopsis Evolutionary Optimization for Computational Electromagnetics by : Jürg Fröhlich

Download or read book Evolutionary Optimization for Computational Electromagnetics written by Jürg Fröhlich and published by . This book was released on 1997 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Evolutionary Optimization for Computational Electromagnetics Related Books

Evolutionary Optimization for Computational Electromagnetics
Language: en
Pages: 154
Authors: Jürg Fröhlich
Categories:
Type: BOOK - Published: 1997 - Publisher:

DOWNLOAD EBOOK

Evolutionary Optimization for Computational Electromagnetics
Language: en
Pages: 154
Authors: Jürg Fröhlich (Ingenieur.)
Categories:
Type: BOOK - Published: 1997 - Publisher:

DOWNLOAD EBOOK

Differential Evolution in Electromagnetics
Language: en
Pages: 225
Authors: Anyong Qing
Categories: Technology & Engineering
Type: BOOK - Published: 2010-05-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Differential evolution has proven itself a very simple while very powerful stochastic global optimizer. It has been applied to solve problems in many scientific
Electromagnetic Optimization by Genetic Algorithms
Language: en
Pages: 522
Authors: Yahya Rahmat-Samii
Categories: Science
Type: BOOK - Published: 1999-07-23 - Publisher: Wiley-Interscience

DOWNLOAD EBOOK

Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modele
Evolutionary Computation Techniques: A Comparative Perspective
Language: en
Pages: 236
Authors: Erik Cuevas
Categories: Technology & Engineering
Type: BOOK - Published: 2016-12-28 - Publisher: Springer

DOWNLOAD EBOOK

This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from dif