Theoretical Computer Science and General Issues

Parallel Problem Solving from Nature – PPSN XIV

14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings

Editors: Handl, J., Hart, E., Lewis, P.R., López-Ibáñez, M., Ochoa, G., Paechter, B. (Eds.)

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About this book

This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.

The total of 93 revised full papers were carefully reviewed and selected from 224 submissions.
The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization.

PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization.
The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis. 

Table of contents (44 chapters)

Table of contents (44 chapters)
  • Online Model Selection for Restricted Covariance Matrix Adaptation

    Akimoto, Youhei (et al.)

    Pages 3-13

  • Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata

    Nichele, Stefano (et al.)

    Pages 14-25

  • Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES

    Hellwig, Michael (et al.)

    Pages 26-36

  • An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem

    Wu, Xiuli (et al.)

    Pages 37-47

  • The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme

    Besten, Willem (et al.)

    Pages 48-58

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-45823-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $149.99
price for USA in USD
  • ISBN 978-3-319-45822-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Parallel Problem Solving from Nature – PPSN XIV
Book Subtitle
14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings
Editors
  • Julia Handl
  • Emma Hart
  • Peter R. Lewis
  • Manuel López-Ibáñez
  • Gabriela Ochoa
  • Ben Paechter
Series Title
Theoretical Computer Science and General Issues
Series Volume
9921
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-45823-6
DOI
10.1007/978-3-319-45823-6
Softcover ISBN
978-3-319-45822-9
Edition Number
1
Number of Pages
XXI, 1026
Number of Illustrations
273 b/w illustrations
Topics