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© 2016

Optimization by GRASP

Greedy Randomized Adaptive Search Procedures

  • First book on GRASP, an optimization technique that has been used all over the world by engineers, optimization specialists, scientists, and more

  • Includes a how-to guide on designing efficient and effective GRASP heuristics to solve real-world optimization problems

  • Includes an original and innovative introduction to combinatorial optimization and heuristics

  • Based on extensive experience teaching GRASP and other metaheuristics to undergraduate and graduate students globally

  • Includes a section on case studies describing successful applications of GRASP in practice

  • Explores tools for performance evaluation and algorithm comparison which are not explored in other books in the area

  • Unified algorithm presentation based on pseudo-codes following the same style throughout the text

Textbook

Table of contents

  1. Front Matter
    Pages i-xx
  2. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 1-11
  3. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 13-39
  4. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 41-62
  5. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 63-93
  6. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 95-112
  7. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 113-146
  8. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 147-166
  9. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 167-188
  10. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 189-204
  11. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 205-227
  12. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 229-244
  13. Mauricio G. C. Resende, Celso C. Ribeiro
    Pages 245-273
  14. Back Matter
    Pages 275-312

About this book

Introduction

This is the first book to cover GRASP (Greedy Randomized Adaptive Search Procedures), a metaheuristic that has enjoyed wide success in practice with a broad range of applications to real-world combinatorial optimization problems. The state-of-the-art coverage and carefully crafted pedagogical style lends this book highly accessible as an introductory text not only to GRASP, but also to combinatorial optimization, greedy algorithms, local search, and path-relinking, as well as to heuristics and metaheuristics, in general. The focus is on algorithmic and computational aspects of applied optimization with GRASP with emphasis given to the end-user, providing sufficient information on the broad spectrum of advances in applied optimization with GRASP. For the more advanced reader, chapters on hybridization with path-relinking and parallel and continuous GRASP present these topics in a clear and concise fashion. Additionally, the book offers a very complete annotated bibliography of GRASP and combinatorial optimization. For the practitioner who needs to solve combinatorial optimization problems, the book provides a chapter with four case studies and implementable templates for all algorithms covered in the text. This book, with its excellent overview of GRASP, will appeal to researchers and practitioners of combinatorial optimization who have a need to find optimal or near optimal solutions to hard combinatorial optimization problems.

Keywords

GRASP GRASP optimization combinatorial optimization discrete mathematics metaheuristics Greedy Randomized Adaptive Search Procedures path-relinking computational complexity polynomial-time algorithms PSPACE Greedy algorithms local search parallel heuristics continuous optimization

Authors and affiliations

  1. 1.Modeling and Optimization Group (MOP)Amazon.com, Inc.SeattleUSA
  2. 2.Instituto de Ciência da ComputaçãoUniversidade Federal FluminenseNiteróiBrazil

Bibliographic information

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Reviews

“Optimization by GRASP is a well-structured and well written introduction to GRASP. In addition it is very suitable for and highly accessible to students, researchers and practitioners who want to familiarize themselves with combinatorial optimization and greedy algorithms. … The book provides an excellent overview of GRASP and will appeal to researchers and practitioners of combinatorial optimization.” (Hans W. Ittmann, IFORS News, Vol. 12 (01), March, 2018)

“The book is a comprehensive introduction to the greedy randomized adaptive search procedures (GRASP), first applied to the set covering problems and then to other combinatorial problems. … The book is a very good choice for scientists, students and engineers, introducing to the subject of GRASP … . I strongly recommend this book to both theoreticians and practitionners of OR.” (Marcin Anholcer, zbMATH 1356.90001, 2017)