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Hybrid Optimization Algorithms and Hybrid Response Surfaces

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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 36))

Abstract

In this paper we will present some hybrid methodologies applied tooptimization of complex systems. The paper is divided in two parts. The first part presents several automatic switching concepts among constituent optimizers in hybrid optimization, where different heuristic and deterministic techniques are combined to speed up the optimization task. In the second part, several high dimensional response surface generation algorithms are presented, where some very basic hybridization concepts are introduced.

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Acknowledgments

This work was partially funded by the US Air Force Office of Scientific Research under grant FA9550-12-1-0440 monitored by Dr. Ali Sayir. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the US Air Force Office of Scientific Research or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for government purposes not with standing any copyright notation thereon. Dr. Colaço also acknowledges the financial support provided by CNPq, CAPES, FAPERJ and ANP/PRH37 (http://www.prh.mecanica.ufrj.br/), Brazilian agencies for fostering science and technology.

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Authors and Affiliations

  1. Multidisciplinary, Inverse Design, Robust Optimization and Control (MAIDROC) Laboratory, Department of Mechanical and Materials Engineering, Florida International University, EC 3462, 10555 West Flagler St, Miami, FL, 33174, USA

    George S. Dulikravich

  2. Department of Mechanical Engineering, Biofuels and Energy Efficiency Program - Brazilian National Agency of Oil, Gas and Biofuels, Federal University of Rio de Janeiro, Cx. Postal 68503, Rio de Janeiro, RJ, 21941-972, Brazil

    Marcelo J. Colaço

Authors
  1. George S. Dulikravich
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  2. Marcelo J. Colaço
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Corresponding author

Correspondence to George S. Dulikravich .

Editor information

Editors and Affiliations

  1. SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    David Greiner

  2. SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Blas Galván

  3. CIMNE, University of Jyväskylä, Jyväskylä, Finland, and Universitat Politècnica de Catalunya, Barcelona, Spain, Barcelona, Spain

    Jacques Périaux

  4. RWTH Aachen University, Aachen, Germany

    Nicolas Gauger

  5. National Technical University of Athens, Athens, Greece

    Kyriakos Giannakoglou

  6. SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Gabriel Winter

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Dulikravich, G.S., Colaço, M.J. (2015). Hybrid Optimization Algorithms and Hybrid Response Surfaces. In: Greiner, D., Galván, B., Périaux, J., Gauger, N., Giannakoglou, K., Winter, G. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-11541-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-11541-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11540-5

  • Online ISBN: 978-3-319-11541-2

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