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Visit to the GECCO Conference in Denver, Colorado, USA

Several HEAL members presented their work from 20th to 24th July at the Genetic and Evolutionary Computation Conference in Denver, Colorado, USA.

The Genetic and Evolutionary Computation Conference (GECCO 2016) presented the latest high-quality results in genetic and evolutionary computation. Topics include: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, memetic algorithms, hyper heuristics, real-world applications, evolutionary machine learning, evolvable hardware, artificial life, adaptive behavior, ant colony optimization, swarm intelligence, biological applications, evolutionary robotics, coevolution, artificial immune systems, and more.

HeuristicLab 3.3.14 "Denver" Release

We are happy to announce the release of HeuristicLab 3.3.14, which we finished at this year's Genetic and Evolutionary Computation Conference (​GECCO) in Denver, CO, USA.

HeuristicLab 3.3.14 "Denver" contains the following new features:

  • New problems:

    • Bin Packing
    • Probabilistic TSP
    • Multi-Objective Testfunctions
  • New data analysis algorithms:
    • Gradient Boosted Regression
    • Nonlinear Regression
    • Elastic-Net
  • Gradient Charts

For a full list of all changes have a look at the ChangeLog.

Go to the Download page or click on the image below to get HeuristicLab 3.3.14 "Denver" now!

Combinatorial Black Box Optimization Competition (GECCO'16)

We are proud to announce that HEAL member Andreas Beham scored 2nd place with his algorithm titled MemPR submitted to the 2nd Combinatorial Black Box Optimization Competition (CBBOC) at the GECCO 2016 conference in Denver, USA. MemPR competed in the track where no parameter tuning was allowed against 5 other algorithms. Only three algorithms could manage to take a lead in a different subset of the problem instances. MemPR was especially successful when applied on Ising Spin Glasses problem instances.

The top three algorithms in the category without parameter tuning were reported to be

  1. CMA-VNS2
  2. MemPR
  3. P3

The ranks were computed using the Schulze method to find the Condorcet winner.

We would like to thank the organizers of doing a great job in organizing the competition, creating the competition framework for a multitude of programming languages and carrying out all the computations. We would like to encourage everyone to consider the competition at next year's GECCO 2017.

Call for Papers: ECTA 2016

Once again, the 8th International Conference on Evolutionary Computation Theory and Applications is held in Porto, Portugal from 9-11th November 2016. Everyone is invited to submit a contribution addressing a number of different aspects such as:

  • Genetic Algorithms
  • Machine Learning
  • Artificial Life
  • Representation Techniques
  • Evolutionary Multiobjective Optimization
  • Game Theory and Applications
  • Evolution Strategies
  • Evolutionary Robotics and Intelligent Agents
  • Society and Cultural Aspects of Evolution
  • Co-evolution and Collective Behavior
  • Biocomputing and Complex Adaptive Systems
  • Bio-inspired Hardware and Networks
  • Swarm/Collective Intelligence
  • Evolutionary Art and Design
  • Hybrid Systems
  • Memetic Algorithms
  • Genetic Programming
  • Hyperheuristics

The deadline for the Regular Paper Submission is June 2nd, 2016. Further important dates and submission guidelines can be found in the attached call for papers

Visit to the Genetic Programming Theory and Practice Workshops 2016

Michael Affenzeller and Michael Kommenda are going to attend this years GPTP 2016 workshop which takes place this week at the campus of the University of Michigan in Ann Arbor. The GPTP workshop is a small invite-only event and offers a good opportunity to discuss in depth important challenges and approaches in the field of genetic programming.

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