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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

  • Book
  • © 2018

Overview

Editors:
  1. Yazmin Maldonado

    1. Instituto Tecnológico de Tijuana, Tijuana, Mexico

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  2. Leonardo Trujillo

    1. Instituto Tecnológico de Tijuana, Tijuana, Mexico

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  3. Oliver Schütze

    1. Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico

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  4. Annalisa Riccardi

    1. University of Strathclyde, Glasgow, United Kingdom

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  5. Massimiliano Vasile

    1. University of Strathclyde, Glasgow, United Kingdom

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  • Includes recent research on numerical and evolutionary optimization
  • Presents the results of the Numerical and Evolutionary Optimization Workshop (NEO 2016) held in Tlalnepantla, Mexico
  • Focuses on smart cities

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Smart Cities

    1. Front Matter

      Pages 1-1
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    2. Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traffic

      • Xiang Li, Jian-Qiao Sun
      Pages 3-44

    3. Augmenting the LSA Technique to Evaluate Ubicomp Environments

      • Víctor R. López-López, Lizbeth Escobedo, Leonardo Trujillo, Victor H. Díaz-Ramírez
      Pages 45-64

    4. Mixed Integer Programming Formulation for the Energy-Efficient Train Timetables Problem

      • Rodrigo Alexander Castro Campos, Sergio Luis Pérez Pérez, Gualberto Vazquez Casas, Francisco Javier Zaragoza Martínez
      Pages 65-86

    5. Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview

      • 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
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    2. Integer Programming Models and Heuristics for Non-crossing Euclidean 3-Matchings

      • Rodrigo Alexander Castro Campos, Marco Antonio Heredia Velasco, Gualberto Vazquez Casas, Francisco Javier Zaragoza Martínez
      Pages 119-139

    3. A Multi-objective Robust Ellipse Fitting Algorithm

      • Heriberto Cruz Hernández, Luis Gerardo de la Fraga
      Pages 141-158

    4. Gradient-Based Multiobjective Optimization with Uncertainties

      • Sebastian Peitz, Michael Dellnitz
      Pages 159-182

    5. A New Local Search Heuristic for the Multidimensional Assignment Problem

      • 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
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    2. A Multi-objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems

      • Michael Farnsworth, Ashutosh Tiwari, Meiling Zhu, Elhadj Benkhelifa
      Pages 205-238

    3. Coefficients Estimation of MPM Through LSE, ORLS and SLS for RF-PA Modeling and DPD

      • 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. Optimal Sizing of Amplifiers by Evolutionary Algorithms with Integer Encoding and \(g_m/I_D\) Design Method

      • Adriana C. Sanabria-Borbón, Esteban Tlelo-Cuautle, Luis Gerardo de la Fraga
      Pages 263-279

  5. Back Matter

    Pages 281-282
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Keywords

About this book

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.  

Editors and Affiliations

  • Instituto Tecnológico de Tijuana, Tijuana, Mexico

    Yazmin Maldonado, Leonardo Trujillo

  • Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico

    Oliver Schütze

  • University of Strathclyde, Glasgow, United Kingdom

    Annalisa Riccardi, Massimiliano Vasile

Bibliographic Information

  • Book Title: NEO 2016

  • Book Subtitle: 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

  • Editors: Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-64063-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-64062-4Published: 21 September 2017

  • Softcover ISBN: 978-3-319-87712-9Published: 09 September 2018

  • eBook ISBN: 978-3-319-64063-1Published: 12 September 2017

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 282

  • Number of Illustrations: 22 b/w illustrations, 124 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics

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