NON-LINEAR GENETIC ALGORITHMS FOR SOLVING PROBLEMS

摘要

ABSTRACTThe present invention is a non-linear genetic algorithm for problemsolving. The iterative process of the present invention operates on a populationof problem solving entities First, the activated entities perform, producingresults. Then the results are assigned values and associated with theproducing entity. Next, entities having relatively high associated values areselected. The selected entities perform either crossover, reproduction, orpermutation operations. Lastly, the newly created entities are added to thepopulation.