Monthly Archives: December 2012

PhD Thesis Available: Graph-Based Approaches to Protein Structure Comparison

Marco Mernberger’s PhD thesis “Graph-Based Approaches to Protein Structure Comparison – From Local to Global Similarity” is available for download. The thesis was supervised by Prof. Dr. Eyke Hüllermeier (Fachbereich Mathematik und Informatik, Philipps-Universität Marburg) and Prof. Dr. Gerhard Klebe (Arbeitsgruppe Prof. Dr. G. Klebe, Philipps-Universität Marburg). Marco performs a “Sequential optimization of GAVEO parameters”, i.e., he uses SPOT for parameter tuning. He describes this approach as follows:
“As outlined in Chapter 4, the evolutionary optimization of graph alignments via GAVEO is controlled by several parameters, influencing the evolutionary operators as well as termination criteria. An unfavorable setting of these parameters might result in near-random alignments of low quality, hence a reasonable setting of parameters is vital for the performance of the algorithm. The sequential parameter optimization toolbox (SPOT) developed by Bartz-Beielstein (2006) presents a convenient tool to derive such a setting for multiple parameters simultaneously.”
“SPOT creates a number of so-called design points in parameter space used to estimate a setting that minimizes the calculation time necessary to arrive at the optimal solution.” Continue reading

Proceedings 22. Workshop Computational Intelligence available for download (free)

Oliver and Martina preparing their CI workshop presentation

The Proceedings of the 22nd Workshop “Computational Intelligence” were published as a book (KIT Scientific Publishing, ISBN-Nr. 978-3-86644917-6). The PDF version (456 pages, approx. 16 MB) can be downloaded from  http://uvka.ubka.uni-karlsruhe.de/shop/download/1000029917. Please check the WWW page of the Control Theory and Systems Engineering Institute (TU Dortmund) for further information about the CI Workshop.
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Universities of Applied Sciences popular as never before (in German)

Eingangsbereich Fakultät Informatik und Ingenieurwissenschaften der FH Köln

Aus der Pressemitteilung 160/2012 des BMBF: “Die Fachhochschulen sind so beliebt wie nie zuvor: … Zwischen dem Wintersemester 1999/2000 und dem Wintersemester 2010/2011 ist die Zahl der Studentinnen und Studenten von 411.000 auf 684.000 gestiegen – ein Wachstum von 66 Prozent. … Besonders die praxisnahe Ausbildung und die engen Kontakte zu Unternehmen erweisen sich als Pluspunkte.”
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GECCO-2013 Invitation

Prof. Bartz-Beielstein accepted the invitation to join the Genetic and Evolutionary Computation Conference (GECCO-2013) as an “ESEP PC Member”. The ES/EP track is concerned with nature-inspired black-box search paradigms for continuous optimization. The historical Evolution Strategies (ES) and Evolutionary Programming (EP) operate on the phenotypic problem representation (i.e., with a trivial genotype-phenotype mapping), generally on real-valued representations. They often employ sophisticated mechanisms for the adaptation of their strategy parameters and owe much of their success to their high efficiency, solid theoretical foundations, universal applicability, ease of use, and robustness. Continue reading

SPOTSeven at HANNOVER MESSE 2013


SPOTSeven will present its innovative approach to industrial process analysis and optimization at HANNOVER MESSE 2013, 08.-12.04.2013.

HANNOVER MESSE, the world’s most important technology show, focuses on global megatrends such as dwindling resources, sustainability, mobility, and urbanization. SPOTSeven’s analysis and optimization technology enables industries to lead innovation with cleaner, more efficient processes and better products.

Hannover Messe Skyway 01

Skyway at the Hannover Fair (Germany). Photo: Armin Kübelbeck

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Special Session on Evolutionary Computation in Dynamic and Uncertain Environments


Prof. Bartz-Beielstein was invited to join the program committee of the special session on Evolutionary Computation in Dynamic and Uncertain Environments (ECiDUE’13) for the 2013 Congress on Evolutionary Computation. This session is supported by the Task Force on EC in Dynamic and Uncertain Environments within the Technical Committee on Evolutionary Computation, IEEE Computational Intelligence Society and is organized by Shengxiang Yang (De Montfort University), Changhe Li (China University of Geosciences), Renato Tinós (University of São Paulo), and David Pelta (University of Granada).

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