How to keep good schemata using cross-over operators for permutation problems
Abstract
To ensure the efficiency of genetic algorithms, good "schemata" must be kept by genetic operators. Performance indicators provide measures of conservation in the "schemata" for permutation chromosomes and different criteria. For some cross-over permutation operators we replace an experimental approach by an analytical one to obtain the indicator values.