Applications of Evolutionary Computation

1. Front Matter

   Pages I-XXVI

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2. EvoNUM

   1. Front Matter

      Pages 1-1

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   2. Local Fitness Meta-Models with Nearest Neighbor Regression

      • Oliver Kramer

      Pages 3-10

   3. Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms

      • Ahmed Salah, Emma Hart, Kevin Sim

      Pages 11-26

   4. Benchmarking Languages for Evolutionary Algorithms

      • J. J. Merelo, Pedro Castillo, Israel Blancas, Gustavo Romero, Pablo García-Sanchez, Antonio Fernández-Ares et al.

      Pages 27-41

   5. On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front

      • Günter Rudolph, Oliver Schütze, Heike Trautmann

      Pages 42-55

   6. Evolving Smoothing Kernels for Global Optimization

      • Paul Manns, Kay Hamacher

      Pages 56-72

3. EvoPAR

   1. Front Matter

      Pages 73-73

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   2. Implementing Parallel Differential Evolution on Spark

      • Diego Teijeiro, Xoán C. Pardo, Patricia González, Julio R. Banga, Ramón Doallo

      Pages 75-90

   3. ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms

      • Francisco Chávez, Francisco Fernández, César Benavides, Daniel Lanza, Juan Villegas, Leonardo Trujillo et al.

      Pages 91-106

   4. Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces

      • Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan J. Merelo

      Pages 107-117

   5. Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution

      • J. Manuel Colmenar, J. Ignacio Hidalgo, Juan Lanchares, Oscar Garnica, Jose-L. Risco, Iván Contreras et al.

      Pages 118-133

   6. GPU Accelerated Molecular Docking Simulation with Genetic Algorithms

      • Serkan Altuntaş, Zeki Bozkus, Basilio B. Fraguela

      Pages 134-146

4. EvoRISK

   1. Front Matter

      Pages 147-147

      PDF

   2. Challenging Anti-virus Through Evolutionary Malware Obfuscation

      • Marco Gaudesi, Andrea Marcelli, Ernesto Sanchez, Giovanni Squillero, Alberto Tonda

      Pages 149-162

5. EvoROBOT

   1. Front Matter

      Pages 163-163

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   2. Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems

      • Fernando Silva, Luís Correia, Anders Lyhne Christensen

      Pages 165-180

   3. Multi-agent Behavior-Based Policy Transfer

      • Sabre Didi, Geoff Nitschke

      Pages 181-197

   4. On-line Evolution of Foraging Behaviour in a Population of Real Robots

      • Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben

      Pages 198-212

   5. Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task

      • Miguel Duarte, Jorge Gomes, Vasco Costa, Sancho Moura Oliveira, Anders Lyhne Christensen

      Pages 213-230

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
• Problem solving

• Politecnico di Torino, Turin, Italy

  Giovanni Squillero

• Aalborg University, Copenhagen, Denmark

  Paolo Burelli

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