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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 28 days ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
TSMC
2008
189views more  TSMC 2008»
13 years 7 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
EVOW
2007
Springer
14 years 1 months ago
Combining Lagrangian Decomposition with an Evolutionary Algorithm for the Knapsack Constrained Maximum Spanning Tree Problem
We present a Lagrangian decomposition approach for the Knapsack Constrained Maximum Spanning Tree problem yielding upper bounds as well as heuristic solutions. This method is furth...
Sandro Pirkwieser, Günther R. Raidl, Jakob Pu...
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski
ICML
2010
IEEE
13 years 7 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger