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CIBCB
2008
IEEE
16 years 1 months ago
Parallel multi-objective algorithms for the molecular docking problem
— Molecular docking is an essential tool for drug design. It helps the scientist to rapidly know if two molecules, respectively called ligand and receptor, can be combined togeth...
Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali...
IPPS
2006
IEEE
16 years 1 months ago
Workforce planning with parallel algorithms
Workforce planning is an important activity that enables organizations to determine the workforce needed for continued success. A workforce planning problem is a very complex task...
Enrique Alba, Gabriel Luque, Francisco Luna
PATAT
2004
Springer
141views Education» more  PATAT 2004»
16 years 18 days ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
GLOBECOM
2006
IEEE
16 years 1 months ago
Distributed Formation of Overlapping Multi-hop Clusters in Wireless Sensor Networks
– Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Most of the published clustering algorithms strive to generate t...
Adel M. Youssef, Mohamed F. Younis, Moustafa Youss...