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Global Optimization: Theory, Developments and Applications
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$117.00
Editors: Angelika Michalski
Book Description:
Global optimization is an important area of applied mathematics that has shown fast and growing development during the last few decades, and deals with the optimization of a function or a set of functions according to some criteria. In this book the authors discuss the theory, developments and applications of global optimization including: particle swarm optimization with re-initialization strategies for continuous global optimization; particle swarm global optimization for orbital maneuvers; float-encoded genetic algorithm used for the inversion processing of well-logging dataparticle collision algorithms; classifier-assisted frameworks for computationally expensive optimization problems; and the cutting box strategy as an algorithmic framework for improving metaheuristics for continuous global optimization. (Imprint: Nova)

Table of Contents:
Preface

Particle Swarm Optimization with Re-Initialization Strategies for Continuous Global Optimization
(D.D. Kennedy, H. Zhang, G.P. Rangaiah, A. Bonilla-Petriciolet, National University of Singapore, Department of Chemical & Biomolecular Engineering, Singapore, and others)

Particle Swarm Global Optimization of Orbital Maneuvers
(Mauro Pontani, Scuola di Ingegneria Aerospaziale, University “La Sapienza”, Rome, Italy)

Float-Encoded Genetic Algorithm Used for the Inversion Processing of Well-Logging Data
(Norbert P. Szabó, Mihály Dobróka, University of Miskolc, Department of Geophysics, and MTA-ME Research Group for Earth Science and Engineering, Hungary)

The Particle Collision Algorithm: A Metropolis Optimization Method
(Wagner F. Sacco, Anderson Alvarenga de Moura Meneses, Ana Carolina Rios-Coelho, Nélio Henderson, Universidade Federal do Oeste do Pará, Brazil, and others)

Classifier-Assisted Frameworks for Computationally Expensive Optimization Problems
(Yoel Tenne, Ariel University Centre, Ariel, Israel)

Cutting Box Strategy: An Algorithmic Framework for Improving Metaheuristics for Continuous Global Optimization
(Wendel Melo, Marcia Fampa, Fernanda Raupp, Institute of Mathematics, Federal University of Rio de Janeiro, Brazil, and others)

Index

   Series:
      Mathematics Research Developments
      Computational Mathematics and Analysis
   Binding: Hardcover
   Pub. Date: 2013
   Pages: 6x9 - (NBC-R)
   ISBN: 978-1-62417-796-5
   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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Global Optimization: Theory, Developments and Applications