© 2008

Metaheuristics for Scheduling in Industrial and Manufacturing Applications

  • Fatos Xhafa
  • Ajith Abraham

Part of the Studies in Computational Intelligence book series (SCI, volume 128)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. G. I. Zobolas, C. D. Tarantilis, G. Ioannou
    Pages 1-40
  3. Seamus M. McGovern, Surendra M. Gupta
    Pages 105-124
  4. D. Ferreira, P. M. França, A. Kimms, R. Morabito, S. Rangel, C. F. M. Toledo
    Pages 169-210
  5. P. Tormos, A. Lova, F. Barber, L. Ingolotti, M. Abril, M. A. Salido
    Pages 255-276
  6. Soumya Banerjee, G. S. Dangayach, S. K. Mukherjee, P. K. Mohanti
    Pages 277-300
  7. Álvaro García-Sánchez, Luis Miguel Arreche, Miguel Ortega-Mier
    Pages 301-325
  8. Back Matter
    Pages 343-346

About this book


During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments.

This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.


Lot sizing and Manufacturing systems Meta-Heuristics Multiprocessor scheduling Production Scheduling Scheduling Sequencing problems Timetabling algorithm algorithms evolutionary algorithm genetic algorithms heuristics modeling optimization search algorithm

Editors and affiliations

  • Fatos Xhafa
    • 1
  • Ajith Abraham
    • 2
  1. 1.Department of Languages and Informatics SystemsPolytechnic University of CataloniaBarcelonaSpain
  2. 2.Norwegian Center of Excellence Center of Excellence for Quantifiable Quality of ServiceNorwegian University of Science and TechnologyTrondheimNorway

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences


From the reviews:

"This balanced collection of 13 chapters presents quality research, with each chapter describing an industrial or manufacturing case related to scheduling. … The use of heuristics is very appropriate for most scheduling problems … . The problems, methods, and approaches presented in the book are very diverse, offering a good starting point for solving most practical scheduling problems. … An advantage of the book--the diversity of the problems and solutions presented … ." (Waldemar Koczkodaj, ACM Computing Reviews, October, 2009)