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ANTSW
2010
Springer
13 years 10 days ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...
ANOR
2004
155views more  ANOR 2004»
13 years 5 months ago
Model-Based Search for Combinatorial Optimization: A Critical Survey
In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimiza...
Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Ma...
JUCS
2008
150views more  JUCS 2008»
13 years 5 months ago
Optimal Sensor Network Layout Using Multi-Objective Metaheuristics
: Wireless Sensor Networks (WSN) allow, thanks to the use of small wireless devices known as sensor nodes, the monitorization of wide and remote areas with precision and liveness u...
Guillermo Molina, Enrique Alba, El-Ghazali Talbi
EVOW
2012
Springer
12 years 1 months ago
Multiobjectivizing the HP Model for Protein Structure Prediction
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
LION
2010
Springer
230views Optimization» more  LION 2010»
13 years 9 months ago
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D
MOEA/D is a multi-objective metaheuristic which has shown a remarkable performance when solving hard optimization problems. In this paper, we propose a thread-based parallel versio...
Antonio J. Nebro, Juan J. Durillo