B.G.W. Craenen, A.E Eiben, E. Marchiori, and A. Steenbeek. Combining local search and fitness function adaptation in a GA for solving binary constraint satisfaction problems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2000. Home/Search Document Details and Download
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Solving Constraint Satisfaction Problems with Heuristic-based .. - Craenen, Eiben (2000) (1 citation) Self-citation (Craenen Eiben Marchiori) (Correct)
....Observe that AES for RIGA does not take into account the computational effort of local search, hence it is much lower than AES of MID. In terms of running time, MID is about five times faster than RIGA. Thus the computational effort of MID can be fairly considered less than the one of RIGA. In [4] it is shown that the performance of RIGA does not improve when the SAW ing method is incorporated in the selection mechanism of the GA: SAW ing uses an on line fitness adjusting mechanism adaptively raising penalties of variables that are often involved in constraint violations. This seems to ....
B.G.W. Craenen, A.E Eiben, E. Marchiori, and A. Steenbeek. Combining local search and fitness function adaptation in a GA for solving binary constraint satisfaction problems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2000.
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