Applications of Evolutionary Computing

1. Front Matter

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2. EvoCOMNET

   1. An Evolutionary Framework for Routing Protocol Analysis in Wireless Sensor Networks

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

      Pages 1-11

   2. Routing Low-Speed Traffic Requests onto High-Speed Lightpaths by Using a Multiobjective Firefly Algorithm

      • Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez

      Pages 12-21

   3. Pareto-optimal Glowworm Swarms Optimization for Smart Grids Management

      • Eleonora Riva Sanseverino, Maria Luisa Di Silvestre, Roberto Gallea

      Pages 22-31

   4. An Overlay Approach for Optimising Small-World Properties in VANETs

      • Julien Schleich, Grégoire Danoy, Bernabé Dorronsoro, Pascal Bouvry

      Pages 32-41

   5. Impact of the Number of Beacons in PSO-Based Auto-localization in UWB Networks

      • Stefania Monica, Gianluigi Ferrari

      Pages 42-51

   6. Load Balancing in Distributed Applications Based on Extremal Optimization

      • Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj

      Pages 52-61

   7. A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming

      • Gianluigi Folino, Francesco Sergio Pisani

      Pages 62-71

   8. Solving the Location Areas Scheme in Realistic Networks by Using a Multi-objective Algorithm

      • Víctor Berrocal-Plaza, Miguel A. Vega-Rodríguez, Juan M. Sánchez-Pérez, Juan A. Gómez-Pulido

      Pages 72-81

3. EvoCOMPLEX

   1. The Small-World Phenomenon Applied to a Self-adaptive Resources Selection Model

      • María Botón-Fernández, Francisco Prieto Castrillo, Miguel A. Vega-Rodríguez

      Pages 82-91

   2. Partial Imitation Hinders Emergence of Cooperation in the Iterated Prisoner’s Dilemma with Direct Reciprocity

      • Mathis Antony, Degang Wu, K. Y. Szeto

      Pages 92-101

   3. A Memetic Approach to Bayesian Network Structure Learning

      • Alberto Tonda, Evelyne Lutton, Giovanni Squillero, Pierre-Henri Wuillemin

      Pages 102-111

   4. Multiobjective Evolutionary Strategy for Finding Neighbourhoods of Pareto-optimal Solutions

      • Ewa Gajda-Zagórska

      Pages 112-121

   5. Genetic Programming-Based Model Output Statistics for Short-Range Temperature Prediction

      • Kisung Seo, Byeongyong Hyeon, Soohwan Hyun, Younghee Lee

      Pages 122-131

   6. Evolutionary Multi-Agent System in Hard Benchmark Continuous Optimisation

      • Sebastian Pisarski, Adam Rugała, Aleksander Byrski, Marek Kisiel-Dorohinicki

      Pages 132-141

4. EvoENERGY

   1. Domestic Load Scheduling Using Genetic Algorithms

      • Ana Soares, Állvaro Gomes, Carlos Henggeler Antunes, Hugo Cardoso

      Pages 142-151

   2. Evolutionary Algorithm Based Control Policies for Flexible Optimal Power Flow over Time

      • Stephan Hutterer, Michael Affenzeller, Franz Auinger

      Pages 152-161

   3. Using a Genetic Algorithm for the Determination of Power Load Profiles

      • Frédéric Krüger, Daniel Wagner, Pierre Collet

      Pages 162-171

   4. Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data

      • Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks et al.

      Pages 172-181

   5. Evolving Non-Intrusive Load Monitoring

      • Dominik Egarter, Anita Sobe, Wilfried Elmenreich

      Pages 182-191

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 65 revised full papers presented were carefully reviewed and selected from 119 submissions. EvoApplications 2013 consisted of the following 12 tracks: 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), EvoFIN (evolutionary and natural computation in finance and economics), 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 computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

• computer networks
• genetic algorithms
• optimization
• planning
• problem solving
• algorithm analysis and problem complexity

• S2 Grupo, Valencia, Spain

  Anna I. Esparcia-Alcázar

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