Artificial Intelligence

Foundations, Theory, and Algorithms

By: Christian Blum, Gunther R. Raidl

Write A Review

Paperback | 30 May 2018

At a Glance

Paperback
176 Pages

Dimensions(cm)
23.5 x 15.5 x 0.97

Paperback

$219.00

or 4 interest-free payments of $54.75 with

Ships in 5 to 7 business days

This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives.

The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.

Industry Reviews

"From the perspective of a practitioner with real-world experience in combinatorial optimization, the text is comprehensive, and at the same time it offers fresh angles and shares valuable expertise. ... I highly recommend this book, both to practitioners and theoreticians at the post graduate levels, be they rooted either at the 'formal/rigid' or 'heuristic/soft' ends of Combinatorial Optimization research or practice." (Ofer M. Shir, Genetic Programming and Evolvable Machines, Vol. 19 (1-2), June, 2018)

"This book by Blum and Raidl constructs a bridge between these two approaches and aims to share expertise gained from each end. ... The book is well-structured. ... I highly recommend this book, both to practitioners and theoreticians at the post graduate levels, be they rooted either at the 'formal/rigid' or 'heuristic/soft' ends of Combinatorial Optimization research or practice." (Ofer M. Shir, Genetic Programming and Evolvable Machines, Vol. 19 (1-2), June, 2018)

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.