Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques

by Edmund K. Burke (Editor)

Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 19 chapters. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world's leading authorities in their field. The result is a major state-of-the-art tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today's problems. It has been written by some of the world's most well known authors in the field.

620 pages, Hardcover

First published January 1, 2005

Reviews

[Adil Raja · Rating 5 out of 5]

This is a really nice book. I remember I bought it from a book stall while I was attending EuroGP 2007 in Valencia, Spain. I was so fond of machine learning then. As soon as I bought the book, I couldn't resist my temptation to read it. It has a bunch of some really nice chapters. I can recall from my memory that apart from the chapters on genetic algorithms, genetic programming, particle swarm optimization, artificial immune systems, simulated annealing and tabu search, I especially liked the one on fitness landscapes. I think this book is a must-have for your book shelves.