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EMO
2009
Springer
140views Optimization» more  EMO 2009»
15 years 2 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
14 years 10 months ago
Agent-based support for interactive search in conceptual software engineering design
While recent attempts to search a conceptual software engineering design search space with multi-objective evolutionary algorithms have yielded promising results, the practical ap...
Christopher L. Simons, Ian C. Parmee
GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
15 years 1 months ago
Integrating decision space diversity into hypervolume-based multiobjective search
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
Tamara Ulrich, Johannes Bader, Eckart Zitzler
ALMOB
2006
155views more  ALMOB 2006»
14 years 9 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
BMCBI
2010
152views more  BMCBI 2010»
14 years 10 months ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto