Annealing a Genetic Algorithm over Constraints
نویسنده
چکیده
A class of variable fitness Genetic Algorithms is studied as a technique for use on constrained optimization problems. Fitness is taken as the product of the objective with an “attenuation” factor which is 1 for feasible solutions but some variable fraction of 1 for infeasible ones. It is shown that this technique leads to algorithms which converge in probability to globally optimal, feasible solutions. An application of the technique is made to a problem of engineering interest with excellent results: the Ground Water Treatment problem for unconfined aquifers.
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تاریخ انتشار 1998