A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems
Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It offers expert guidance to optimizing electromagnetic systems using genetic algorithms (GA), which have proven to be tenacious in finding optimal results where traditional techniques fail.
Genetic Algorithms in Electromagnetics begins with an introduction to optimization and several commonly used numerical optimization routines, and goes on to feature:
Introductions to GA in both binary and continuous variable forms, complete with examples of MATLAB(r) commands
Two step-by-step examples of optimizing antenna arrays as well as a comprehensive overview of applications of GA to antenna array design problems
Coverage of GA as an adaptive algorithm, including adaptive and smart arrays as well as adaptive reflectors and crossed dipoles
Explanations of the optimization of several different wire antennas, starting with the famous "crooked monopole"
How to optimize horn, reflector, and microstrip patch antennas, which require significantly more computing power than wire antennas
Coverage of GA optimization of scattering, including scattering from frequency selective surfaces and electromagnetic band gap materials
Ideas on operator and parameter selection for a GA
Detailed explanations of particle swarm optimization and multiple objective optimization
An appendix of MATLAB code for experimentation
R and Data Mining: Examples and Case Studies
This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It
Presents an introduction into using R for data mining applications, covering most popular data mining techniques
Introduction to the Design and Analysis of Algorithms (3rd Edition)
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms
presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal...
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets
As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...
Object Oriented Programming With C++
The book aims at providing an all-round enrichment of knowledge in the area of object-oriented programming with C++ as the implementation of language. The author has used simple language to explain critical concepts of object-oriented programming and for...
Algorithm Design: Foundations, Analysis and Internet Examples
This book is designed to provide a comprehensive introduction to the design and
analysis of computer algorithms and data structures. In terms M the computer science
and computer engineering curricula, we have written this book to be primarily
focused on the Junior-Senior level Algorithms (CS7) course, which is taught as a... Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)
This new third edition has again been thoroughly revised, even though the
changes are not as extensive as in the second edition. Of course, the general
aims of the book have remained the same.
In particular, I have added some additional material, namely two new
sections concerning graphical codes (which provides a...