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IDA
2003
Springer
16 years 1 days ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...
SCA
2007
15 years 9 months ago
Adaptive deformations with fast tight bounds
Simulation of deformations and collision detection are two highly intertwined problems that are often treated separately. This is especially true in existing elegant adaptive simu...
Miguel A. Otaduy, Daniel Germann, Stephane Redon, ...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 8 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
EC
2010
157views ECommerce» more  EC 2010»
15 years 7 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
ISAAC
2004
Springer
115views Algorithms» more  ISAAC 2004»
16 years 6 days ago
Randomized Algorithms for Motif Detection
Motivation: Motif detection for DNA sequences has many important applications in biological studies, e.g., locating binding sites and regulatory signals, and designing genetic prob...
Lusheng Wang, Liang Dong, Hui Fan