In some aspects, the techniques described herein relate to a method including: initializing a population of hypotheses; computing misfit values for each of the hypotheses, the misfit values computed using a fitness function including a weighted summation, wherein terms of weighted summation include metric functions; generating a plurality of offspring hypotheses based on the population of hypotheses and a crossover bitmask; generating a new population using the plurality of offspring and a subset of the population of hypotheses; mutating at least one hypothesis in the new population; selecting a hypothesis from the new population based on a corresponding misfit value of the hypothesis; and allocating at least one resource based on the hypothesis.