Multiobjective genetic algorithms
Carlos M. Fonseca, Peter John Fleming · Institution of Engineering and Technology eBooks · 1997
This chapter discusses how an existing GA can be modified and set up to explore the relevant trade-offs between multiple objectives with a minimum of effort. Although Pareto and Pareto-like ranking schemes can be easily implemented, current guidelines on the associated set up of techniques such as sharing and mating restriction are intricate and/or based on more or less rough assumptions about the cost landscape, which has not contributed to their popularity.