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Parallel Problem Solving from Nature – PPSN XV

15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part II

  • Anne Auger
  • Carlos M. Fonseca
  • Nuno Lourenço
  • Penousal Machado
  • Luís Paquete
  • Darrell Whitley
Conference proceedings PPSN 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11102)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11102)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Runtime Analysis and Approximation Results

    1. Front Matter
      Pages 1-1
    2. Eduardo Carvalho Pinto, Carola Doerr
      Pages 29-41
    3. Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko
      Pages 42-54
    4. Darrell Whitley, Swetha Varadarajan, Rachel Hirsch, Anirban Mukhopadhyay
      Pages 55-66
    5. Dogan Corus, Pietro S. Oliveto, Donya Yazdani
      Pages 67-78
    6. Timo Kötzing, Martin S. Krejca
      Pages 79-91
    7. Timo Kötzing, Martin S. Krejca
      Pages 92-104
    8. Per Kristian Lehre, Phan Trung Hai Nguyen
      Pages 105-116
    9. Denis Antipov, Benjamin Doerr
      Pages 117-128
    10. Clemens Frahnow, Timo Kötzing
      Pages 129-140
  3. Fitness Landscape Modeling and Analysis

    1. Front Matter
      Pages 179-179
    2. Sébastien Verel, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka
      Pages 181-193
    3. Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
      Pages 220-231
    4. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibáñez, Hernán Aguirre, Kiyoshi Tanaka
      Pages 232-244
    5. Gabriela Ochoa, Sebastian Herrmann
      Pages 245-256
    6. Sébastien Verel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini
      Pages 257-268
  4. Algorithm Configuration, Selection, and Benchmarking

    1. Front Matter
      Pages 269-269
    2. Yasha Pushak, Holger Hoos
      Pages 271-283
    3. Sobia Saleem, Marcus Gallagher, Ian Wood
      Pages 284-295
    4. Steven J. Daniels, Alma A. M. Rahat, Richard M. Everson, Gavin R. Tabor, Jonathan E. Fieldsend
      Pages 296-307
    5. Alberto Moraglio, James McDermott
      Pages 334-346
    6. Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
      Pages 373-384
  5. Machine Learning and Evolutionary Algorithms

    1. Front Matter
      Pages 385-385
    2. Nam Le, Michael O’Neill, Anthony Brabazon
      Pages 387-398
    3. Jonas Prellberg, Oliver Kramer
      Pages 424-435
    4. Marco Baioletti, Alfredo Milani, Valentino Santucci
      Pages 436-448
    5. Darrell Whitley, Renato Tinós, Francisco Chicano
      Pages 449-460
    6. Krzysztof Jurczuk, Daniel Reska, Marek Kretowski
      Pages 461-473
  6. Tutorials and Workshops at PPSN 2018

    1. Front Matter
      Pages 475-475
    2. Gisele Lobo Pappa, Michael T. M. Emmerich, Ana Bazzan, Will Browne, Kalyanmoy Deb, Carola Doerr et al.
      Pages 477-489
    3. Robin Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen et al.
      Pages 490-497
  7. Back Matter
    Pages 499-501

Other volumes

  1. 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part I
  2. Parallel Problem Solving from Nature – PPSN XV
    15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part II

About these proceedings

Introduction

This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018.

The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV.  





Keywords

artificial intelligence combinatorial optimization differential evolution evolutionary algorithms evolutionary computation genetic algorithms genetic programming heuristic methods learning algorithms local optima metaheuristics multiobjective optimization pareto principle particle swarm optimization (pso) probability problem solving search algorithms semantics simulated annealing traveling salesman problem

Editors and affiliations

  • Anne Auger
    • 1
  • Carlos M. Fonseca
    • 2
  • Nuno Lourenço
    • 3
  • Penousal Machado
    • 4
  • Luís Paquete
    • 5
  • Darrell Whitley
    • 6
  1. 1.Inria SaclayPalaiseauFrance
  2. 2.University of CoimbraCoimbraPortugal
  3. 3.University of CoimbraCoimbraPortugal
  4. 4.University of CoimbraCoimbraPortugal
  5. 5.University of CoimbraCoimbraPortugal
  6. 6.Colorado State UniversityFort CollinsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-99259-4
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-99258-7
  • Online ISBN 978-3-319-99259-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site