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 latest methods for fixing constraint delight difficulties, together with whole tree seek techniques and metaheuristics, and indicates how they are often built-in inside constraint programming languages.
The moment half describes the ant colony optimization metaheuristic and illustrates its features on assorted constraint delight problems.
The 3rd half indicates how the ant colony might be built-in inside of a constraint programming language, therefore combining the expressive energy of constraint programming languages, to explain difficulties in a declarative means, and the fixing energy of ant colony optimization to successfully resolve those problems.
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