By Christine Solnon
The first half introduces constraint programming, which gives excessive point good points to declaratively version difficulties via constraints. It describes the most present ways for fixing constraint pride difficulties, together with whole tree seek ways and metaheuristics, and indicates how they are often built-in inside of constraint programming languages.
The moment half describes the ant colony optimization metaheuristic and illustrates its features on diverse constraint delight problems.
The 3rd half indicates how the ant colony can be built-in inside of a constraint programming language, hence combining the expressive energy of constraint programming languages, to explain difficulties in a declarative approach, and the fixing energy of ant colony optimization to successfully resolve those problems.
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Additional resources for Ant Colony Optimization and Constraint Programming
Ant Colony Optimization and Constraint Programming by Christine Solnon