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DAWAK
2005
Springer
15 years 6 months ago
Gene Expression Biclustering Using Random Walk Strategies
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rando...
Fabrizio Angiulli, Clara Pizzuti
102
Voted
ISCI
2008
102views more  ISCI 2008»
15 years 20 days ago
Random walk biclustering for microarray data
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rand...
Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti
91
Voted
CG
2010
Springer
14 years 10 months ago
Rook Jumping Maze Design Considerations
We define the Rook Jumping Maze, provide historical perspective, and describe a generation method for such mazes. When applying stochastic local search algorithms to maze design, m...
Todd W. Neller, Adrian Fisher, Munyaradzi T. Choga...
NMA
2010
14 years 10 months ago
Metaheuristics for the Asymmetric Hamiltonian Path Problem
One of the most important applications of the Asymmetric Hamiltonian Path Problem is in scheduling. In this paper we describe a variant of this problem, and develop both a mathemat...
João Pedro Pedroso
104
Voted
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 1 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...