Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part I | SpringerLink
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Parallel Problem Solving from Nature – PPSN XV

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

  • Conference proceedings
  • © 2018

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Editors:
  1. Anne Auger

    1. Inria Saclay, Palaiseau, France

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  2. Carlos M. Fonseca

    1. University of Coimbra, Coimbra, Portugal

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  3. Nuno Lourenço

    1. University of Coimbra, Coimbra, Portugal

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  4. Penousal Machado

    1. University of Coimbra, Coimbra, Portugal

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  5. Luís Paquete

    1. University of Coimbra, Coimbra, Portugal

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  6. Darrell Whitley

    1. Colorado State University, Fort Collins, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11101)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: PPSN 2018.

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About this book

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.  









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Table of contents (42 papers)

  1. Front Matter

    Pages I-XXX
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  2. Numerical Optimization

    1. Front Matter

      Pages 1-1
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    2. A Comparative Study of Large-Scale Variants of CMA-ES

      • Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet et al.
      Pages 3-15

    3. Design of a Surrogate Model Assisted (1 + 1)-ES

      • Arash Kayhani, Dirk V. Arnold
      Pages 16-28

    4. Generalized Self-adapting Particle Swarm Optimization Algorithm

      • Mateusz Uliński, Adam Żychowski, Michał Okulewicz, Mateusz Zaborski, Hubert Kordulewski
      Pages 29-40

    5. PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming

      • Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi
      Pages 41-53

    6. Towards an Adaptive CMA-ES Configurator

      • Sander van Rijn, Carola Doerr, Thomas Bäck
      Pages 54-65

  3. Combinatorial Optimization

    1. Front Matter

      Pages 67-67
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    2. A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems

      • Behrooz Ghasemishabankareh, Melih Ozlen, Frank Neumann, Xiaodong Li
      Pages 69-81

    3. Comparative Study of Different Memetic Algorithm Configurations for the Cyclic Bandwidth Sum Problem

      • Eduardo Rodriguez-Tello, Valentina Narvaez-Teran, Fréderic Lardeux
      Pages 82-94

    4. Efficient Recombination in the Lin-Kernighan-Helsgaun Traveling Salesman Heuristic

      • Renato Tinós, Keld Helsgaun, Darrell Whitley
      Pages 95-107

    5. Escherization with a Distance Function Focusing on the Similarity of Local Structure

      • Yuichi Nagata
      Pages 108-120

    6. Evolutionary Search of Binary Orthogonal Arrays

      • Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Alberto Leporati
      Pages 121-133

    7. Heavy-Tailed Mutation Operators in Single-Objective Combinatorial Optimization

      • Tobias Friedrich, Andreas Göbel, Francesco Quinzan, Markus Wagner
      Pages 134-145

    8. Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem

      • G. H. Aalvanger, N. H. Luong, P. A. N. Bosman, D. Thierens
      Pages 146-157

    9. On the Performance of Baseline Evolutionary Algorithms on the Dynamic Knapsack Problem

      • Vahid Roostapour, Aneta Neumann, Frank Neumann
      Pages 158-169

    10. On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains

      • Christopher Stone, Emma Hart, Ben Paechter
      Pages 170-182

  4. Genetic Programming

    1. Front Matter

      Pages 183-183
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    2. EDDA-V2 – An Improvement of the Evolutionary Demes Despeciation Algorithm

      • Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella
      Pages 185-196

    3. Extending Program Synthesis Grammars for Grammar-Guided Genetic Programming

      • Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O’Neill
      Pages 197-208
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Other volumes

  1. Parallel Problem Solving from Nature – PPSN XV

  2. Parallel Problem Solving from Nature – PPSN XV

Editors and Affiliations

  • Inria Saclay, Palaiseau, France

    Anne Auger

  • University of Coimbra, Coimbra, Portugal

    Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete

  • Colorado State University, Fort Collins, USA

    Darrell Whitley

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