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Parallel Problem Solving from Nature – PPSN XIV

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

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Julia Handl

    1. University of Manchester, Manchester, United Kingdom

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  2. Emma Hart

    1. Edinburgh Napier University, Edinburgh, United Kingdom

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  3. Peter R. Lewis

    1. Aston University, Birmingham, United Kingdom

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  4. Manuel López-Ibáñez

    1. University of Manchester, Manchester, United Kingdom

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  5. Gabriela Ochoa

    1. University of Stirling, Stirling, United Kingdom

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  6. Ben Paechter

    1. Edinburgh Napier University, Edinburgh, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9921)

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

Included in the following conference series:

Conference proceedings info: PPSN 2016.

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Table of contents (95 papers)

  1. Dynamic, Uncertain and Constrained Environments

    1. Augmented Lagrangian Constraint Handling for CMA-ES — Case of a Single Linear Constraint

      • Asma Atamna, Anne Auger, Nikolaus Hansen
      Pages 181-191

    2. An Active-Set Evolution Strategy for Optimization with Known Constraints

      • Dirk V. Arnold
      Pages 192-202

    3. Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation

      • Xiaofen Lu, Ke Tang, Xin Yao
      Pages 203-213

    4. On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization

      • Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin
      Pages 214-224

    5. Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization

      • Renato Tinós, Shengxiang Yang
      Pages 225-236

    6. Efficient Sampling When Searching for Robust Solutions

      • Juergen Branke, Xin Fei
      Pages 237-246

  2. Genetic Programming

    1. Front Matter

      Pages 247-247
      Download chapter PDF

    2. Optimising Quantisation Noise in Energy Measurement

      • William B. Langdon, Justyna Petke, Bobby R. Bruce
      Pages 249-259

    3. Syntactical Similarity Learning by Means of Grammatical Evolution

      • Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao
      Pages 260-269

    4. Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming

      • Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung
      Pages 270-280

    5. Parallel Hierarchical Evolution of String Library Functions

      • Jacob Soderlund, Darwin Vickers, Alan Blair
      Pages 281-291

    6. On the Non-uniform Redundancy in Grammatical Evolution

      • Ann Thorhauer
      Pages 292-302

    7. Tournament Selection Based on Statistical Test in Genetic Programming

      • Thi Huong Chu, Quang Uy Nguyen, Michael O’Neill
      Pages 303-312

    8. Kin Selection with Twin Genetic Programming

      • William B. Langdon
      Pages 313-323

    9. Using Scaffolding with Partial Call-Trees to Improve Search

      • Brad Alexander, Connie Pyromallis, George Lorenzetti, Brad Zacher
      Pages 324-334

    10. Feature Extraction for Surrogate Models in Genetic Programming

      • Martin Pilát, Roman Neruda
      Pages 335-344

    11. A General-Purpose Framework for Genetic Improvement

      • Francesco Marino, Giovanni Squillero, Alberto Tonda
      Pages 345-352

    12. On the Use of Semantics in Multi-objective Genetic Programming

      • Edgar Galván-López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer
      Pages 353-363

    13. Semantic Forward Propagation for Symbolic Regression

      • Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
      Pages 364-374

    14. Reducing Dimensionality to Improve Search in Semantic Genetic Programming

      • Luiz Otavio V. B. Oliveira, Luis F. Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi
      Pages 375-385
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  1. Parallel Problem Solving from Nature – PPSN XIV

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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. 

Editors and Affiliations

  • University of Manchester, Manchester, United Kingdom

    Julia Handl, Manuel López-Ibáñez

  • Edinburgh Napier University, Edinburgh, United Kingdom

    Emma Hart, Ben Paechter

  • Aston University, Birmingham, United Kingdom

    Peter R. Lewis

  • University of Stirling, Stirling, United Kingdom

    Gabriela Ochoa

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