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Using Adaptive Simulated Annealing For Optimal Selection With Several Constraints
An Adaptive Simulated Annealing (ASA) procedure was proposed to optimize genetic contributions, allowing for a maximal genetic gain on a main objective while reaching predefined values for an ancillary objective and for coancestry rate. As an illustration, a poultry population was simulated. The ASA procedure was compared with an unconstrained selection on main objective and with an empirical procedure based on maximal numbers of selected sibs. The ASA procedure outperformed the empirical procedure for meeting the constraints i.e. a null genetic evolution of the ancillary objective and the chosen levels of coancestry rates, while providing a higher genetic gain for the main objective.
Keywords:
Simulated annealing
Genetic gain
Inbreeding
Coancestry
