By Christine Solnon
The first half introduces constraint programming, which supplies excessive point gains to declaratively version difficulties through constraints. It describes the most present techniques for fixing constraint delight difficulties, together with entire tree seek methods and metaheuristics, and exhibits 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 exhibits how the ant colony should be built-in inside a constraint programming language, therefore combining the expressive strength of constraint programming languages, to explain difficulties in a declarative manner, and the fixing energy of ant colony optimization to successfully resolve those problems.
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