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CPAIOR
2009
Springer
15 years 6 months ago
Backdoors to Combinatorial Optimization: Feasibility and Optimality
There has been considerable interest in the identification of structural properties of combinatorial problems that lead, directly or indirectly, to the development of efficient al...
Bistra N. Dilkina, Carla P. Gomes, Yuri Malitsky, ...
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
15 years 3 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 6 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
ICCV
2007
IEEE
16 years 1 months ago
Optimization Algorithms for Labeling Brain Sulci Based on Graph Matching
Graph matching techniques are widely used in pattern recognition problems such as scene description, finger print identification, or face recognition. In this paper, we put forwar...
Faguo Yang, Frithjof Kruggel
85
Voted
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 5 months ago
Behavior of finite population variable length genetic algorithms under random selection
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
Hal Stringer, Annie S. Wu