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By Christine Solnon

Ant colony optimization is a metaheuristic which has been effectively utilized to quite a lot of combinatorial optimization difficulties. the writer describes this metaheuristic and reports its potency for fixing a few challenging combinatorial difficulties, with a selected concentrate on constraint programming. The textual content is prepared into 3 elements.

The first half introduces constraint programming, which supplies excessive point positive factors to declaratively version difficulties through constraints. It describes the most latest techniques for fixing constraint delight difficulties, together with whole tree seek ways and metaheuristics, and exhibits how they are often built-in inside constraint programming languages.

The moment half describes the ant colony optimization metaheuristic and illustrates its functions on diversified constraint pride problems.
The 3rd half indicates how the ant colony will be built-in inside a constraint programming language, hence combining the expressive energy of constraint programming languages, to explain difficulties in a declarative method, and the fixing energy of ant colony optimization to successfully resolve those problems.

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Ant Colony Optimization and Constraint Programming by Christine Solnon


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