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GPEM
2002
163views more  GPEM 2002»
13 years 7 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
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 1 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol
ECAI
2000
Springer
13 years 11 months ago
Solving Permutation Constraint Satisfaction Problems with Artificial Ants
Abstract. We describe in this paper Ant-P-solver, a generic constraint solver based on the Ant Colony Optimization (ACO) metaheuristic. The ACO metaheuristic takes inspiration on t...
Christine Solnon
EOR
2008
156views more  EOR 2008»
13 years 7 months ago
Ant colony optimization for continuous domains
In this paper we present an extension of ant colony optimization (ACO) to continuous domains. We show how ACO, which was initially developed to be a metaheuristic for combinatoria...
Krzysztof Socha, Marco Dorigo
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
14 years 2 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...