NEO 2016

Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico

  • Yazmin Maldonado
  • Leonardo Trujillo
  • Oliver Schütze
  • Annalisa Riccardi
  • Massimiliano Vasile

Part of the Studies in Computational Intelligence book series (SCI, volume 731)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Smart Cities

    1. Front Matter
      Pages 1-1
    2. Víctor R. López-López, Lizbeth Escobedo, Leonardo Trujillo, Victor H. Díaz-Ramírez
      Pages 45-64
    3. Rodrigo Alexander Castro Campos, Sergio Luis Pérez Pérez, Gualberto Vazquez Casas, Francisco Javier Zaragoza Martínez
      Pages 65-86
    4. P. J. Escamilla-Ambrosio, A. Rodríguez-Mota, E. Aguirre-Anaya, R. Acosta-Bermejo, M. Salinas-Rosales
      Pages 87-115
  3. Search, Optimization and Hybrid Algorithms

    1. Front Matter
      Pages 117-117
    2. Rodrigo Alexander Castro Campos, Marco Antonio Heredia Velasco, Gualberto Vazquez Casas, Francisco Javier Zaragoza Martínez
      Pages 119-139
    3. Heriberto Cruz Hernández, Luis Gerardo de la Fraga
      Pages 141-158
    4. Sebastian Peitz, Michael Dellnitz
      Pages 159-182
    5. Sergio Luis Pérez Pérez, Carlos E. Valencia, Francisco Javier Zaragoza Martínez
      Pages 183-202
  4. Electronics and Embedded Systems

    1. Front Matter
      Pages 203-203
    2. Michael Farnsworth, Ashutosh Tiwari, Meiling Zhu, Elhadj Benkhelifa
      Pages 205-238
    3. E. Allende-Chávez, S. A. Juárez-Cázares, J. R. Cárdenas-Valdez, Y. Sandoval-Ibarra, J. A. Galaviz-Aguilar, Leonardo Trujillo et al.
      Pages 239-262
    4. Adriana C. Sanabria-Borbón, Esteban Tlelo-Cuautle, Luis Gerardo de la Fraga
      Pages 263-279
  5. Back Matter
    Pages 281-282

About this book

Introduction

This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world and requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others.

The goal of the NEO workshop series is to bring together experts from these and related fields to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal.   

Keywords

Smart Cities NEO 2016 Results Computational Intelligence Numerical Optimization Evolutionary Optimization Search and Optimization Techniques

Editors and affiliations

  • Yazmin Maldonado
    • 1
  • Leonardo Trujillo
    • 2
  • Oliver Schütze
    • 3
  • Annalisa Riccardi
    • 4
  • Massimiliano Vasile
    • 5
  1. 1.Instituto Tecnológico de TijuanaTijuanaMexico
  2. 2.Instituto Tecnológico de TijuanaTijuanaMexico
  3. 3.Departamento de ComputaciónCINVESTAV-IPNMexico CityMexico
  4. 4.University of StrathclydeGlasgowUnited Kingdom
  5. 5.University of StrathclydeGlasgowUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-64063-1
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-64062-4
  • Online ISBN 978-3-319-64063-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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