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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 5 days ago
Quick-and-dirty ant colony optimization
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...
Paola Pellegrini, Elena Moretti
HM
2009
Springer
145views Optimization» more  HM 2009»
15 years 10 months ago
A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal + +
We present a hybrid solver (called GELATO) that exploits the potentiality of a Constraint Programming (CP) environment (Gecode) and of a Local Search (LS) framework (EasyLocal++ )....
Raffaele Cipriano, Luca Di Gaspero, Agostino Dovie...
WOB
2004
134views Bioinformatics» more  WOB 2004»
15 years 7 months ago
Reconstruction of Phylogenetic Trees using the Ant Colony Optimization Paradigm
We developed a new approach for the reconstruction of phylogenetic trees using ant colony optimization metaheuristics.Atree is constructed using a fully connected graph and the pro...
Heitor S. Lopes, Mauricio Perretto
CEC
2010
IEEE
15 years 7 months ago
Population-Based Guided Local Search: Some preliminary experimental results
Based on the Proximate Optimality Principle in metaheuristics, a Population Based Guided Local Search (PGLS) framework for dealing with difficult combinatorial optimization problem...
Nasser Tairan, Qingfu Zhang
SSD
2007
Springer
132views Database» more  SSD 2007»
16 years 3 days ago
Computing a k -Route over Uncertain Geographical Data
An uncertain geo-spatial dataset is a collection of geo-spatial objects that do not represent accurately real-world entities. Each object has a confidence value indicating how lik...
Eliyahu Safra, Yaron Kanza, Nir Dolev, Yehoshua Sa...