Applications of Evolutionary Computation

1. Front Matter

   Pages I-XXIV

   PDF

2. EvoBAFIN

   1. Front Matter

      Pages 1-1

      PDF

   2. Minimization of Systemic Risk for Directed Network Using Genetic Algorithm

      • Wenshuo Guo, Kwok Yip Szeto

      Pages 3-16

   3. Pricing Rainfall Based Futures Using Genetic Programming

      • Sam Cramer, Michael Kampouridis, Alex A. Freitas, Antonis K. Alexandridis

      Pages 17-33

   4. Dynamic Portfolio Optimization in Ultra-High Frequency Environment

      • Patryk Filipiak, Piotr Lipinski

      Pages 34-50

3. EvoBIO

   1. Front Matter

      Pages 51-51

      PDF

   2. Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism

      • Jason R. White, Ranjan Srivastava

      Pages 53-66

   3. De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness

      • Doina Bucur

      Pages 67-82

   4. EVE: Cloud-Based Annotation of Human Genetic Variants

      • Brian S. Cole, Jason H. Moore

      Pages 83-95

   5. Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods

      • Elizabeth R. Piette, Jason H. Moore

      Pages 96-108

   6. Objective Assessment of Cognitive Impairment in Parkinson’s Disease Using Evolutionary Algorithm

      • Chiara Picardi, Jeremy Cosgrove, Stephen L. Smith, Stuart Jamieson, Jane E. Alty

      Pages 109-124

   7. Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data

      • Simon Baron, Nicola Lazzarini, Jaume Bacardit

      Pages 125-141

   8. Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting

      • Jose Manuel Velasco, Oscar Garnica, Sergio Contador, Jose Manuel Colmenar, Esther Maqueda, Marta Botella et al.

      Pages 142-157

   9. Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification

      • William La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Jason Moore

      Pages 158-173

4. EvoCOMNET

   1. Front Matter

      Pages 175-175

      PDF

   2. Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing

      • Muhanad Tahrir Younis, Shengxiang Yang, Benjamin Passow

      Pages 177-189

   3. Analysis of Average Communicability in Complex Networks

      • Qi Bu, Kwok Yip Szeto

      Pages 190-204

   4. Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm

      • David Lynch, Michael Fenton, Stepan Kucera, Holger Claussen, Michael O’Neill

      Pages 205-220

   5. Multi-objective Evolutionary Algorithms for Influence Maximization in Social Networks

      • Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Tonda

      Pages 221-233

   6. A Fast ILP-Based Heuristic for the Robust Design of Body Wireless Sensor Networks

      • Fabio D’Andreagiovanni, Antonella Nardin, Enrico Natalizio

      Pages 234-250

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.

The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

 

• bioinspired methods
• complex systems
• distributed algorithms
• evolutionary algorithms
• genetic programming
• communication networks
• continuous optimization
• design automation
• dynamic problems
• energy applications
• evolutionary computation
• evolutionary robotics
• finance and economics
• games
• genetic algorithms
• image analysis
• industrial environment
• parallel systems
• security
• signal processing and pattern recognition

• Politecnico di Torino, Turin, Italy

  Giovanni Squillero

• Edinburgh Napier University, Edinburgh, United Kingdom

  Kevin Sim

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