2005 年 125 巻 10 号 p. 1629-1630
Existing algorithms such as ASelite and ASrankRS do not work well for Graph Coloring Problem (GCP) due to local search performance of each ant. This paper proposes Queen Ant Strategy for GCP which controls search intensification and diversification and makes it easier to implement in parallel than the existing algorithms.
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