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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 25 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 11 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 8 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 23 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...