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100   $a20091218d2010      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aAnt colony optimization and constraint programming$b[electronic resource] /$fChristine Solnon
210   $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2010
215   $a1 online resource (248 p.)
225 1 $aISTE
300   $aDescription based upon print version of record.
311   $a1-84821-130-9 
320   $aIncludes bibliographical references (p. 219-230) and index.
327   $apt. 1. Constraint programming -- pt. 2. Ant colony optimization -- pt. 3. CP with ACO.
330   $aAnt colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search 
410  0$aISTE
606   $aConstraint programming (Computer science)
606   $aMathematical optimization
606   $aSwarm intelligence
606   $aAnt algorithms
608   $aElectronic books.
615  0$aConstraint programming (Computer science)
615  0$aMathematical optimization.
615  0$aSwarm intelligence.
615  0$aAnt algorithms.
676   $a005.1/16
700   $aSolnon$b Christine$0860417
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910139246303321
996   $aAnt colony optimization and constraint programming$91919745
997   $aUNINA