Rigorous Performance Analysis of Algorithms

Optimization is a technology which has the potential to become even more important than data mining and big data are now, as it can improve the efficiency of each and every aspect of an enterprises operation and products. Optimization means to find approximate solutions for hard problems. Optimization algorithms can find short routes in logistic planning scenarios, construction plans for work pieces that require only little amounts of material, or efficient schedules in production planning. They can help to reduce costs and pollution at the same time.

The term "optimization algorithms" implies a plural, and there are already many different families of algorithms, including exact methods, heuristics, metaheuristics sub-families such as evolutionary computation and swarm intelligence, as well as local search and hybrid algorithms. Each of these families contains dozens of general and specialized algorithms. We want to know how we can find out which method is best for which problem and when and why. First, using the best algorithm will give us the best solutions, which is what we want. Knowing why an algorithm is best could help us to create even better ones. Thus, benchmarking of optimization algorithms in a statistically sound, robust, and ideally automatic way seems to be an important topic to me. Yet it is entirely under-represented in literature. We want to emphasize how important it is, as for practical applications of optimization, we simply need to know that we are using the best and most reliable methods.

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News

  1. International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA)
  2. Program for Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at ICACI 2018 Released
  3. BB-DOB @ GECCO: Submission Deadline Extended to April 3, 2018
  4. Submission Deadline Extended to December 1, 2017: International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA)
  5. Black-Box Discrete Optimization Benchmarking (BB-DOB@PPSN) Workshop Accepted at PPSN XV
  6. Black-Box Discrete Optimization Benchmarking (BB-DOB@PPSN) Workshop
  7. Black-Box Discrete Optimization Benchmarking (BB-DOB@GECCO) Workshop Accepted at GECCO 2018
  8. Black-Box Discrete Optimization Benchmarking (BB-DOB@GECCO) Workshop
  9. International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA)
  10. Workshop on Benchmarking of Computational Intelligence Algorithms approved for ICACI 2018
  11. Research Talk at the Ludwig-Maximilians-Universität Munich in Munich (München), Germany
  12. Research Talk at the Johannes Gutenberg University Mainz in Mainz, Germany
  13. Research Talk at the University of Cologne in Köln (Cologne), Germany
  14. Research Talk at the University of Leipzig in Leipzig, Germany
  15. Research Talk at the University of Applied Sciences Zittau/Görlitz in Görlitz, Germany
  16. Research Talk at the Otto von Guericke University Magdeburg in Magdeburg, Germany
  17. Research Talk at the Clausthal University of Technology in Clausthal-Zellerfeld, Germany
  18. Research Talk at the Technische Universität Ilmenau in Ilmenau, Germany
  19. Research Talk at the Technische Universität Ilmenau in Ilmenau, Germany
  20. Research Talk at the University of Applied Sciences Mittweida in Mittweida, Germany
  21. Research Talk at the Chemnitz University of Technology in Chemnitz, Germany
  22. Research Talk at the Chemnitz University of Technology in Chemnitz, Germany
  23. Research Talk at the Friedrich Schiller University in Jena, Germany
  24. Research Talk: Automating Scientific Research in Optimization
  25. From Standardized Data Formats to Standardized Tools for Optimization Algorithm Benchmarking
  26. New Beta Release of our optimizationBenchmarking.org Software for Automating Research in Optimization
  27. Two Papers accepted at GECCO 2017