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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 2 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
APSEC
2005
IEEE
15 years 3 months ago
Simulation-based Validation and Defect Localization for Evolving, Semi-Formal Requirements Models
When requirements models are developed in an iterative and evolutionary way, requirements validation becomes a major problem. In order to detect and fix problems early, the speci...
Christian Seybold, Silvio Meier
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 4 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
BMCBI
2007
105views more  BMCBI 2007»
14 years 10 months ago
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences
Background: The secondary structure of an RNA must be known before the relationship between its structure and function can be determined. One way to predict the secondary structur...
Stefan Engelen, Fariza Tahi
WEA
2010
Springer
330views Algorithms» more  WEA 2010»
15 years 4 months ago
Exact Bipartite Crossing Minimization under Tree Constraints
A tanglegram consists of a pair of (not necessarily binary) trees T1, T2 with leaf sets L1, L2. Additional edges, called tangles, may connect nodes in L1 with those in L2. The task...
Frank Baumann, Christoph Buchheim, Frauke Liers