Sciweavers

166 search results - page 26 / 34
» Fixed-parameter evolutionary algorithms and the vertex cover...
Sort
View
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 2 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
EC
2000
241views ECommerce» more  EC 2000»
14 years 9 months ago
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
To successfully apply evolutionary algorithms to the solution of increasingly complex problems, we must develop effective techniques for evolving solutions in the form of interact...
Mitchell A. Potter, Kenneth A. De Jong
DAM
2008
115views more  DAM 2008»
14 years 9 months ago
Variable space search for graph coloring
Let G = (V, E) be a graph with vertex set V and edge set E. The k-coloring problem is to assign a color (a number chosen in {1, . . . , k}) to each vertex of G so that no edge has...
Alain Hertz, Matthieu Plumettaz, Nicolas Zufferey
92
Voted
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 3 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
CONSTRAINTS
2007
122views more  CONSTRAINTS 2007»
14 years 9 months ago
Stochastic Local Search Algorithms for Graph Set T -colouring and Frequency Assignment
The graph set T-colouring problem (GSTCP) generalises the classical graph colouring problem; it asks for the assignment of sets of integers to the vertices of a graph such that co...
Marco Chiarandini, Thomas Stützle