Handbook of Approximation Algorithms and Metaheuristics, Second Edition: Two-Volume Set, 2nd Edition (Hardback) book cover

Handbook of Approximation Algorithms and Metaheuristics, Second Edition

Two-Volume Set, 2nd Edition

Edited by Teofilo F. Gonzalez

Chapman and Hall/CRC

1,578 pages | 313 B/W Illus.

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Hardback: 9781498770156
pub: 2018-05-23
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Description

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.

Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems.

Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more.

About the Editor

Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of scheduling, graph, computational geometry, communication, routing, etc.

Reviews

"The authors have done a good job on how to introduce modelling while using programming instructions in an engaging way. No matter if readers may not have done much mathematics at school: they can re-learn the essentials with the book, and programming as well. A part of the author’s webpage http://www.intromodelling.com is set aside for material relating to this book as well as electronic copies of exercises and the related code. This is an excellent book for students and professionals in science, social science, and engineering that wish to learn the principles of computer modelling, as well as basic programming skills."

Table of Contents

Volume 1. Part 1: Basic Methodologies Part 2: Local Search, Neural Networks, and Meta-heuristics Part 3: Multiobjective Optimization, Sensitivity Analysis and Stability Part 4: Traditional Applications

Volume 2. Part I: Computational Geometry and Graph Applications Part II: Large-Scale and Emerging Applications

About the Editor

Teofilo Gonzalez is a professor of computer science at the University of California, Santa Barbara.

About the Series

Chapman & Hall/CRC Computer and Information Science Series

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Subject Categories

BISAC Subject Codes/Headings:
COM012040
COMPUTERS / Programming / Games
COM059000
COMPUTERS / Computer Engineering
MAT000000
MATHEMATICS / General
MAT004000
MATHEMATICS / Arithmetic