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Ant Colony Optimization and Constraint Programming

By (author) Christine Solnon

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normal price: R 5 535.95

Price: R 4 982.95


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Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search approaches and metaheuristics, and shows how they can be integrated within constraint programming languages. The second part describes the ant colony optimization metaheuristic and illustrates its capabilities on different constraint satisfaction problems. The third part shows how the ant colony may be integrated within a constraint programming language, thus combining the expressive power of constraint programming languages, to describe problems in a declarative way, and the solving power of ant colony optimization to efficiently solve these problems.

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Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | ISTE Ltd and John Wiley & Sons Inc
Published date | 13 Apr 2010
Language |
Format | Hardback
Pages | 320
Dimensions | 236 x 155 x 18mm (L x W x H)
Weight | 476g
ISBN | 978-1-8482-1130-8
Readership Age |
BISAC | computers / programming / general


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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Readership Age |
Normal Price | R 5 649.95
Price | R 5 084.95 | on special |




Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Readership Age |
Normal Price | R 6 535.95
Price | R 5 881.95 | on special |



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