Michael Affenzeller's invited talk on symbolic regression and genetic programming has been very well received by the participants of the prestigious GPTP-workshop (Genetic Programming in Theory and Practice) in Ann Arbor, Michigan. Stefan Wagner got a chance to give a live demonstration of our latest version of the HeuristicLab software and it's features for symbolic regression and genetic programming.

Following the talk, many interesting discussions revolved around research topics that we have been working on in the last years, also within the Josef Ressel center "Heureka!". In particular, ou...

Stephan Winkler spent some days at the Department of Physics and Mathematics of the University of Alcalá de Henares. Together with Prof. Bonifacio Castaño he worked on prognosis models for stocks, indices and trading rules optimization implemented in HeuristicLab; in cooperation with Prof. J. Rafael Sendra he also researched on the optimization of polynomials using evolutionary algorithms. We look forward to seeing the results of this work in the future in the form of joint research articles and project proposals!

HeuristicLab 3.3.8 is out now. You can download it from http://dev.heuristiclab.com/download.

Among others, HeuristicLab 3.3.8 contains the following new features:

• Scatter Search
• Relevant Alleles Preserving GA (RAPGA)
• Symbolic Time-Series Prognosis
• Neighborhood Component Analysis
• Ensemble Modeling
• LM-BFGS
• Gaussian Process Regression and Least-Squares Classification
• Job Shop Scheduling
• Linux support based on Mono