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PAAMS
2010
Springer
15 years 4 months ago
An UCT Approach for Anytime Agent-Based Planning
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-base...
Damien Pellier, Bruno Bouzy, Marc Métivier
ISCI
2010
211views more  ISCI 2010»
14 years 10 months ago
A new heuristic approach for non-convex optimization problems
In this work a new optimization method, called the heuristic Kalman algorithm (HKA), is presented. This new algorithm is proposed as an alternative approach for solving continuous,...
Rosario Toscano, Patrick Lyonnet
EVOW
2009
Springer
15 years 6 months ago
Binary Exponential Back Off for Tabu Tenure in Hyperheuristics
In this paper we propose a new tabu search hyperheuristic which makes individual low level heuristics tabu dynamically using an analogy with the Binary Exponential Back Off (BEBO) ...
Stephen Remde, Keshav P. Dahal, Peter I. Cowling, ...
EVOW
2005
Springer
15 years 5 months ago
Population Training Heuristics
This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in ...
Alexandre César Muniz de Oliveira, Luiz Ant...
BMCBI
2007
131views more  BMCBI 2007»
14 years 11 months ago
An improved method for identifying functionally linked proteins using phylogenetic profiles
Background: Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein c...
Shawn Cokus, Sayaka Mizutani, Matteo Pellegrini