Applications of Evolutionary Computation

1. EvoCOMNET

   1. A Heuristic Crossover Enhanced Evolutionary Algorithm for Clustering Wireless Sensor Network

      • Muyiwa Olakanmi Oladimeji, Mikdam Turkey, Sandra Dudley

      Pages 251-266

   2. A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing

      • Nasser R. Sabar, Andy Song, Mengjie Zhang

      Pages 267-282

   3. An (MI)LP-Based Primal Heuristic for 3-Architecture Connected Facility Location in Urban Access Network Design

      • Fabio D’Andreagiovanni, Fabian Mett, Jonad Pulaj

      Pages 283-298

   4. Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip

      • Jakub Muszyński, Sébastien Varrette, Pascal Bouvry

      Pages 299-314

   5. A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers

      • Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino

      Pages 315-331

   6. UAV Fleet Mobility Model with Multiple Pheromones for Tracking Moving Observation Targets

      • Christophe Atten, Loubna Channouf, Grégoire Danoy, Pascal Bouvry

      Pages 332-347

2. EvoCOMPLEX

   1. Front Matter

      Pages 349-349

      PDF

   2. Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks

      • Nadia S. Taou, David W. Corne, Michael A. Lones

      Pages 351-362

   3. The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks

      • Steve Miller, Joshua Knowles

      Pages 363-378

   4. Influence Maximization in Social Networks with Genetic Algorithms

      • Doina Bucur, Giovanni Iacca

      Pages 379-392

   5. Measuring Diversity of Socio-Cognitively Inspired ACO Search

      • Ewelina Świderska, Jakub Łasisz, Aleksander Byrski, Tom Lenaerts, Dana Samson, Bipin Indurkhya et al.

      Pages 393-408

   6. Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems

      • Piotr Faliszewski, Jakub Sawicki, Robert Schaefer, Maciej Smołka

      Pages 409-424

3. EvoENERGY

   1. Front Matter

      Pages 425-425

      PDF

   2. A Decentralized PSO with Decoder for Scheduling Distributed Electricity Generation

      • Jörg Bremer, Sebastian Lehnhoff

      Pages 427-442

   3. Comparison of Multi-objective Evolutionary Optimization in Smart Building Scenarios

      • Marlon Braun, Thomas Dengiz, Ingo Mauser, Hartmut Schmeck

      Pages 443-458

   4. A Hybrid Genetic Algorithm for the Interaction of Electricity Retailers with Demand Response

      • Maria João Alves, Carlos Henggeler Antunes, Pedro Carrasqueira

      Pages 459-474

   5. Stigmergy-Based Scheduling of Flexible Loads

      • Fredy H. Rios S., Lukas König, Hartmut Schmeck

      Pages 475-490

   6. Electrical Load Pattern Shape Clustering Using Ant Colony Optimization

      • Fernando Lezama, Ansel Y. Rodríguez, Enrique Muñoz de Cote, Luis  Enrique Sucar

      Pages 491-506

   7. Optimization of Operation and Control Strategies for Battery Energy Storage Systems by Evolutionary Algorithms

      • Jan Müller, Matthias März, Ingo Mauser, Hartmut Schmeck

      Pages 507-522

4. EvoGAMES

   1. Front Matter

      Pages 523-523

      PDF

The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.

The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 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), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

• Artificial intelligence
• Bioinspired methods
• Biologically inspired computing
• Combinatorial optimization
• Communication networks
• Complex systems
• Computer games
• Data mining
• Distributed systems
• Energy applications
• Evolutionary algorithms
• Evolutionary computation
• Feature selection
• Finance and economics
• Genetic algorithms
• Genetic programming
• Machine learning
• Natural computing
• Particle Swarm Optimization (PSO)
• Problem solving

• Politecnico di Torino, Turin, Italy

  Giovanni Squillero

• Aalborg University, Copenhagen, Denmark

  Paolo Burelli

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