01033nam a2200193 a 450000100080000000500110000800800410001910000200006024500850008026001610016530000140032652003860034065000280072665000130075465000180076765000160078570000190080170000190082021099862019-08-23       2019    bl uuuu     u00u1 u    #d1 aFONTOURA, D. N.  aOptimizing mate selectionba genetic algorithms approach.h[electronic resource]  aIn: ICAR CONFERENCE & IDF/ISO ANALYTICAL WEEK, 2019, Prague. Final programme: book of abstracts. Prague: Ministry of Agriculture of the Czech Republicc2019  ap. 54-55.  aThis work presents an approach, based on algorithm heuristics, which after the selection of bulls and cows belonging to a mating group, recommends the best combinations of mating to maximize the GQI, taking into account both: directional values of expected differences of progeny and penalizations on mating restrictions, such as inbreeding and poor expected performance on traits.  aAcasalamento Controlado  aAnálise  aGado de Corte  aPerformance1 aCAMARGO, S. S.1 aCARDOSO, F. F.