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Titlebook: Ant Colony Optimization and Swarm Intelligence; 4th International Wo Marco Dorigo,Mauro Birattari,Thomas Stützle Conference proceedings 200

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,Der Röntgen ist wohl verrückt geworden,/following process, several other aspects of ant behavior were modeled. The paths selected by ants in the simulations were compared to those selected by ants in the experiments. The results of the model were encouraging, indicating that the same behavioral rules can lead ants to find the shortest paths under different environmental conditions.
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Modeling Ant Behavior Under a Variable Environment/following process, several other aspects of ant behavior were modeled. The paths selected by ants in the simulations were compared to those selected by ants in the experiments. The results of the model were encouraging, indicating that the same behavioral rules can lead ants to find the shortest paths under different environmental conditions.
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On the Design of ACO for the Biobjective Quadratic Assignment Problemategy. The experimental results indicate that the use of local search procedures and the correlation between objectives play an essential role in the performance of the variants studied in this paper.
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https://doi.org/10.1007/b99492Ant algorithm; algorithms; ant algorithms; ant colonies; ant colony optimization; ant programming; autonom
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