Handbook of Applied Optimisation Genetics, Formulations and Algorithms

This handbook describes a rank-based fitness assignment method for Multiple Objective Genetic Algorithms (MOGAs). Conventional niche formation methods are extended to this class of multimodal problems and theory for setting the niche size is presented. The fitness assignment method is then modified to allow direct intervention of an external decision maker (DM). Finally, the MOGA is generalized further: the genetic algorithm is seen as the optimizing element of a multi objective optimization loop, which also comprises the DM.