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DAWAK
2005
Springer
15 years 8 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
ISCI
2008
102views more  ISCI 2008»
15 years 3 months 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
CG
2010
Springer
15 years 1 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
15 years 1 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
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 4 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...