Quality criteria for multi-objective optimization solutions obtained with a genetic algorithm
Pierre M. Grignon, Georges M. Fadel, Pierre M. Grignon, Georges M. Fadel · 38th Structures, Structural Dynamics, and Materials Conference · 1997
It is now a well-establish ed fact that multi-objective problems can be addressed with a genetic algorithm. The conventional techniques of objective combinations or successive optimization of all the objectives leading to the identification of a single point in the Pareto Set are outperformed by the possibility of getting several solutions at the same time.