The Leading European Event on Bio-Inspired Computation. 

Porto (Portugal), 30 March - 1 April 2016

EvoStar comprises of four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back nearly 20 years. The four conferences include

• EuroGP 19th European Conference on Genetic Programming
• EvoCOP 16th European Conference on Evolutionary Computation in Combinatorial Optimisation
• EvoMUSART 5th International Conference (and 12th European event) on Evolutionary and Biologically Inspired Music, Sound, Art and Design
• EvoApplications 18th European Conference on the Applications of Evolutionary and bio-inspired Computation including the following tracks
  • EvoBIO Evolutionary Computation, Machine Learning and Data Mining in Computational Biology
  • EvoCOMNET Application of Nature-inspired Techniques for Communication Networks and other Parallel and Distributed Systems
  • EvoCOMPLEX Applications of algorithms and complex systems
  • EvoENERGY Evolutionary Algorithms in Energy Applications
  • EvoFIN Track on Evolutionary Computation in Finance and Economics
  • EvoGAMES Bio-inspired Algorithms in Games
  • EvoIASP Evolutionary computation in image analysis, signal processing and pattern recognition
  • EvoINDUSTRY The application of Nature-Inspired Techniques in industrial settings
  • EvoNUM Bio-inspired algorithms for continuous parameter optimisation
  • EvoPAR Parallel and distributed Infrastructures
  • EvoRISK Computational Intelligence for Risk Management, Security and Defense Applications
  • EvoROBOT Evolutionary Computation in Robotics
  • EvoSTOC Evolutionary Algorithms in Stochastic and Dynamic Environments

EvoROBOT 2016

The EvoROBOT track focusses on evolutionary robotics: the application of evolutionary computation techniques to automatically design the controllers and/or hardware of autonomous robots, real or simulated. This is by nature a multi-faceted field that combines approaches from other fields such as neuro-evolution, evolutionary design, artificial life, robotics, et cetera. We seek high quality contributions dealing with state-of-the-art research in the area of evolutionary robotics.

Topics include but are not limited to:

• Evolution of (neural) robot controllers;
• Evolution of modular robot morphology;
• Hardware/morphology and controller co-evolution;
• Open-ended evolution in robotics;
• Robotic evolutionary Artificial Life;
• Evolutionary self-assembly and self-replication;
• Evolution, development and learning;
• Evolutionary and co-evolutionary approaches.