A novel bio-inspired method of finding the fitness function of an evolutionary algorithm: Microbial Screening Methods In Silico (MSMIS)

& Rafael Lahoz-Beltra
One of the most delicate stages of an evolutionary algorithm is the evaluation of the goodness of the solutions by some procedure providing a fitness value. However, although there are general rules, it is not always easy to find an appropriate
evaluation function for a given problem. In the biological realm, today there is a variety of experimental methods under the name of microbial screening to identify and select bacteria from their traits, as well...
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