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» Data mining with an ant colony optimization algorithm
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ANTSW
2008
Springer
14 years 10 months ago
Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search
Abstract. Ant colony optimization (ACO) is a metaheuristic that produces good results for a wide range of combinatorial optimization problems. Often such successful applications us...
Frank Neumann, Dirk Sudholt, Carsten Witt
CEC
2008
IEEE
15 years 4 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
87
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GPEM
2002
163views more  GPEM 2002»
14 years 9 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
CAS
2008
68views more  CAS 2008»
14 years 9 months ago
Very Strongly Constrained Problems: an Ant Colony Optimization Approach
: Ant Colony Optimization (ACO) is a class of metaheuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standar...
Vittorio Maniezzo, Matteo Roffilli
IPPS
2007
IEEE
15 years 3 months ago
Applying Ant Colony Optimization Metaheuristic to the DAG Layering Problem
— This paper1 presents the design and implementation of an Ant Colony Optimization based algorithm for solving the DAG Layering Problem. This algorithm produces compact layerings...
Radoslav Andreev, Patrick Healy, Nikola S. Nikolov