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Heuristics: Theory and Applications $270.00
Editors: Patrick Siarry (Université de Paris, Creteil, France)
Book Description:
Many advances have recently been made in metaheuristic methods, from theory to applications. The community of researchers claiming the relevance of their work to the field of metaheuristics is growing faster and faster, despite the fact that the term itself has not been precisely defined. This book discusses theoretical developments in metaheuristics, adaptation of discrete metaheuristics to continuous optimization, performance comparisons of metaheuristics, cooperative methods combining different approaches, parallel and distributed metaheuristics for multiobjective optimization, software implementations, and real-world applications. (Imprint: Nova)

Table of Contents:
Chapter 1- Continuous-GRASP Revisited
(Benjamin Martin, Xavier Gandibleux and Laurent Granvilliers, Université de Nantes — LINAUMR CNRS 6241 UFR Sciences, Nantes Cedex, France)

Chapter 2- The Noising Methods
(Irène Charon and Olivier Hudry, Telecom ParisTech, Paris Cedex, France)

Chapter 3- Matheuristics: Embedding MILP Solvers into Heuristic Algorithms for Combinatorial Optimization Problems
(Federico Della Croce, Andrea Grosso and Fabio Salassa, D.A.I. Politecnico di Torino, Italy and others)

Chapter 4- An Empirical Investigation of Different Solution Strategies for Meta-Heuristic Optimization: Solution Representation, Diversity and Space Reduction
(Mario Vanhoucke and Broos Maenhout, Ghent University, Gent, Belgium and others)

Chapter 5- Non-Deterministic Decoding with Mapping Rearrangement to Enhance Precision in Binary Encodings
(Orhan Dengiz, Alice E. Smith and Gerry Dozier, DnD Technological Solutions, Ankara, Turkey and others)

Chapter 6- Towards a More Efficient Multi-objective Particle Swarm Optimizer Free of Parameters
(Nadia Smairi, Patrick Siarry and Khaled Ghedira, SOIE Laboratory, University of Tunis, Tunis, Tunisia and others)

Chapter 7- A Multi-objective Genetic Algorithm to Search for Pareto Solutions of Series-Parallel System Component Allocation Problems
(Yasushi Kambayashi, Yasuhiro Tsujimura, Hidemi Yamachi and Hisashi Yamamoto, Department of Computer and Information Engineering, Nippon Institute of Technology, Saitama, Japan and others)

Chapter 8- A Survey of Genetic Algorithms for Shop Scheduling Problems
(Frank Werner, Otto-von-Guericke-Universit, Fakult Mathematik,
Magdeburg, Germany)

Chapter 9- A Scheduling Approach for the Design of Flexible Manufacturing Systems
(Laurent Deroussi and Michel Gourgand, Université Blaise Pascal, Clermont-Ferrand, France and others)

Chapter 10- Electric Distribution Network Operation Planning Using Chu and Beasley Genetic Algorithm and Particle Swarm Optimization
(Ricardo A. de Araújo, Santiago P. Torres, Madson C. de Almeida and Carlos A. Castro, Power Systems Department, School of Electrical and Computer Engineering, University of Campinas, São Paulo, Brazil)

Chapter 11- A Distributed Approach for Designing Efficient Search Algorithms: An Application to Solve the Location-Routing Problem
(Jose Eduardo Pecora Jr., Angel Ruiz and Patrick Soriano, Departamento de Administra, Geral e Aplicada, Universidade Federal do Parana, Brazil and others)

Chapter 12- The Multi-Depot Vehicle Routing Problem: An Integer Programming-Based Heuristic and Computational Results
(Damon Gulczynski, Bruce Golden, Martin Savelsbergh and Edward Wasil, RouteSmart Technologies, Inc., Columbia, MD, USA and others)

Chapter 13- Optimization for Feature Selection in DNA Microarrays
(Vincent Gardeux, René Natowicz, Maria Fernanda Barbosa Wanderley and Rachid Chelouah, L@RIS, EISTI, Avenue du Parc, Cergy, France and others)

Chapter 14- Ant Colony System: Application for the Single and Multi-objective Multidimensional Knapsack Problems
(Prakash Shelokar, European Centre for Soft Computing, Mieres, Spain)

Chapter 15- Synergistic Combination of Evolutionary Algorithms and Fuzzy Systems: Application to Control Design
(Nazmul H. Siddique, School of Computing and Intelligent Systems,
University of Ulster, NI, UK)

Chapter 16- Analysis of Structures by Total Potential Optimization Using Meta-Heuristic Algorithms (TPO/MA)
(Y. C. Toklu and N. E. Toklu, Department of Civil Engineering, Faculty of Engineering, Bayburt University, Bayburt, Turkey and others)


      Mathematics Research Developments
      Engineering Tools, Techniques and Tables
   Binding: ebook
   Pub. Date: 2013
   Pages: 7x10 - (NBC-C)
   ISBN: 978-1-62417-664-7
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Heuristics: Theory and Applications