Titlebook: Constraint Processing; Selected Papers Manfred Meyer Conference proceedings 1995 Springer-Verlag Berlin Heidelberg 1995 Artificial intellig

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GA-easy and GA-hard constraint satisfaction problems,e greediness of deterministic classical CSP solving techniques can be counterbalanced by the random mechanisms of GAs. We tested our ideas by running experiments on four different CSPs: N-queens, graph 3-colouring, the traffic lights and the Zebra problem. Three of the problems have proven to be GA-

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Numerical Simulation of Wave Propagation of nodes visited, while avoiding redundant consistency checks. This algorithm is further enhanced such that it incorporates conflict-directed backjumping (CBJ) to give FC-BM-CBJ. A series of experiments are then carried out on really hard problems in an attempt to position these new algorithms with respect to the known algorithms.

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Ultrasonic Nondestructive Evaluation Systemspply only to special classes of contraints. However, a specific new algorithm, AC-7, is developed that takes advantage of a simple property common to all binary constraints to eliminate constraint checks that other arc consistency algorithms perform.

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