By Christine Solnon
The first half introduces constraint programming, which gives excessive point positive factors to declaratively version difficulties through constraints. It describes the most current techniques for fixing constraint delight difficulties, together with entire 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 pride problems.
The 3rd half indicates how the ant colony might be built-in inside of a constraint programming language, therefore combining the expressive strength of constraint programming languages, to explain difficulties in a declarative means, and the fixing strength 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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