Applications of Evolutionary Computation

1. Front Matter

   Pages I-XXIV

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2. EvoSET

   1. Front Matter

      Pages 1-1

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   2. Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines

      • Javier Ferrer, Francisco Chicano, Enrique Alba

      Pages 3-19

   3. On the Use of Smelly Examples to Detect Code Smells in JavaScript

      • Ian Shoenberger, Mohamed Wiem Mkaouer, Marouane Kessentini

      Pages 20-34

   4. Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka

      • David R. White, Leonid Joffe, Edward Bowles, Jerry Swan

      Pages 35-48

   5. Focusing Learning-Based Testing Away from Known Weaknesses

      • Christian Fleischer, Jörg Denzinger

      Pages 49-65

   6. Polytypic Genetic Programming

      • Jerry Swan, Krzysztof Krawiec, Neil Ghani

      Pages 66-81

   7. Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach

      • Anna I. Esparcia-Alcázar, Francisco Almenar, Urko Rueda, Tanja E. J. Vos

      Pages 82-95

3. EvoSTOC

   1. Front Matter

      Pages 97-97

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   2. A New Multi-swarm Particle Swarm Optimization for Robust Optimization Over Time

      • Danial Yazdani, Trung Thanh Nguyen, Juergen Branke, Jin Wang

      Pages 99-109

   3. The Static and Stochastic VRP with Time Windows and both Random Customers and Reveal Times

      • Michael Saint-Guillain, Christine Solnon, Yves Deville

      Pages 110-127

   4. Pre-scheduled Colony Size Variation in Dynamic Environments

      • Michalis Mavrovouniotis, Anastasia Ioannou, Shengxiang Yang

      Pages 128-139

   5. An Online Packing Heuristic for the Three-Dimensional Container Loading Problem in Dynamic Environments and the Physical Internet

      • Chi Trung Ha, Trung Thanh Nguyen, Lam Thu Bui, Ran Wang

      Pages 140-155

   6. Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology

      • Julia Jordan, Wei Cheng, Bernd Scheuermann

      Pages 156-172

   7. Road Traffic Rules Synthesis Using Grammatical Evolution

      • Eric Medvet, Alberto Bartoli, Jacopo Talamini

      Pages 173-188

   8. Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm

      • Gizem Sungu, Betul Boz

      Pages 189-204

4. General

   1. Front Matter

      Pages 205-205

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   2. Meta-heuristics for Improved RF Emitter Localization

      • Sondre A. Engebråten, Jonas Moen, Kyrre Glette

      Pages 207-223

   3. Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm

      • Thambo Nyathi, Nelishia Pillay

      Pages 224-239

5. Back Matter

   Pages 241-243

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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, colocated 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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