Evostar 2017

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 over 20 years.

EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange.

• EuroGP 20th European Conference on Genetic Programming
• EvoCOP 17th European Conference on Evolutionary Computation in Combinatorial Optimisation
• EvoMUSART 6th International Conference (and 12th European event) on Evolutionary and Biologically Inspired Music, Sound, Art and Design
• EvoApplications 19th 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