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Computational Intelligence in Music, Sound, Art and Design

7th International Conference, EvoMUSART 2018, Parma, Italy, April 4-6, 2018, Proceedings

  • Antonios Liapis
  • Juan Jesús Romero Cardalda
  • Anikó Ekárt

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10783)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10783)

Table of contents

  1. Front Matter
    Pages I-X
  2. George Gabriel, Susan Stepney
    Pages 18-33
  3. Ludivine Lechat, Lieven Menschaert, Tom De Smedt, Lucas Nijs, Monica Dhar, Koen Norga et al.
    Pages 64-77
  4. Alexandra Bonnici, Maria Mifsud, Kenneth P. Camilleri
    Pages 78-94
  5. Marinos Koutsomichalis, Björn Gambäck
    Pages 95-111
  6. Anna Lindemann, Eric Lindemann
    Pages 128-144
  7. Florian Uhde, Sanaz Mostaghim
    Pages 177-193
  8. Dimitrije Marković, Nebojša Malešević
    Pages 194-205
  9. Evgheni Polisciuc, Filipe Assunção, Penousal Machado
    Pages 223-238
  10. Philip Bontrager, Wending Lin, Julian Togelius, Sebastian Risi
    Pages 267-282
  11. Tiago Martins, João Correia, Ernesto Costa, Penousal Machado
    Pages 299-314
  12. Back Matter
    Pages 315-315

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2018, held in Parma, Italy, in April 2018, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications.

The 21 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics and application areas, including: generative approaches to music and visual art; medical art therapy; visualization in virtual reality; jewellery design; interactive evolutionary computation; and the art theory of evolutionary computation.

Keywords

applied computing artificial intelligence computer graphics computing methodologies evolutionary algorithm generative and developmental approaches genetic algorithms genetic programming human-computer interaction image reconstruction machine learning multi-agent systems neural networks virtual reality

Editors and affiliations

  • Antonios Liapis
    • 1
  • Juan Jesús Romero Cardalda
    • 2
  • Anikó Ekárt
    • 3
  1. 1.University of Malta Msida Malta
  2. 2.University of A Coruña A CoruñaSpain
  3. 3.Aston University BirminghamUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-77583-8
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-77582-1
  • Online ISBN 978-3-319-77583-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site