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Global Optimization: Theory, Developments and Applications
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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:

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)


      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