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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 4 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
AI
2003
Springer
15 years 5 months ago
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Sets of DNA strands that satisfy combinatorial constraints play an important role in various approaches to biomolecular computation, nanostructure design, and molecular tagging. Th...
Dan C. Tulpan, Holger H. Hoos
ACSW
2004
15 years 2 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang
IPPS
2003
IEEE
15 years 6 months ago
Performance Analysis of Distributed Search in Open Agent Systems
In open multi-agent systems agents need resources provided by other agents but they are not aware of which agents provide the particular resources. Most solutions to this problem ...
Vassilios V. Dimakopoulos, Evaggelia Pitoura
FOCI
2007
IEEE
15 years 7 months ago
Faster Evolutionary Algorithms by Superior Graph Representation
— We present a new representation for individuals in problems that have cyclic permutations as solutions. To demonstrate its usefulness, we analyze a simple randomized local sear...
Benjamin Doerr, Christian Klein, Tobias Storch