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JUCS
2010
148views more  JUCS 2010»
8 years 4 months ago
Applying RFD to Construct Optimal Quality-Investment Trees
: River Formation Dynamics (RFD) is an evolutionary computation method based on copying how drops form rivers by eroding the ground and depositing sediments. Given a cost-evaluated...
Pablo Rabanal, Ismael Rodríguez, Fernando R...
TEC
2002
103views more  TEC 2002»
8 years 5 months ago
A short convergence proof for a class of ant colony optimization algorithms
In this paper, we prove some convergence properties for a class of ant colony optimization algorithms. In particular, we prove that for any small constant 0 and for a sufficiently ...
Thomas Stützle, Marco Dorigo
TEC
2002
163views more  TEC 2002»
8 years 5 months ago
Ants can solve constraint satisfaction problems
In this paper, we describe a new incomplete approach for solving constraint satisfaction problems (CSPs) based on the ant colony optimization (ACO) metaheuristic. The idea is to us...
Christine Solnon
TEC
2002
152views more  TEC 2002»
8 years 5 months ago
Ant colony optimization for resource-constrained project scheduling
An ant colony optimization (ACO) approach for the resource-constrained project scheduling problem (RCPSP) is presented. Several new features that are interesting for ACO in general...
Daniel Merkle, Martin Middendorf, Hartmut Schmeck
GPEM
2002
163views more  GPEM 2002»
8 years 6 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
FGCS
2000
139views more  FGCS 2000»
8 years 6 months ago
Ant algorithms
This paper overviews recent work on ant algorithms, that is, algorithms for discrete optimization which took inspiration from the observation of ant colonies foraging behavior, an...
Marco Dorigo, Gianni Di Caro, Thomas Stützle
ANOR
2004
155views more  ANOR 2004»
8 years 6 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...
ALIFE
2002
8 years 6 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo
PRL
2006
148views more  PRL 2006»
8 years 6 months ago
An agent based evolutionary approach to path detection for off-road vehicle guidance
This paper describes an ant colony optimization approach adopted to decide on road-borders to automatically guide a vehicle developed for the DARPA Grand Challenge 2004, available...
Alberto Broggi, Stefano Cattani
JEC
2006
69views more  JEC 2006»
8 years 6 months ago
Application partitioning on programmable platforms using the ant colony optimization
Modern digital systems consist of a complex mix of computational resources, e.g. microprocessors, memory elements and reconfigurable logic. System partitioning
Gang Wang, Wenrui Gong, Ryan Kastner
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