sharing {rmoo}

Calculation of Dummy Fitness

Description

Calculate of sharing distance and dummy fitness

Usage

sharing(object)

Arguments

object

An object of class 'nsga', usually resulting from a call to function nsga. Fitness Function Objective Numbers.

Details

The sharing distance operator guides the selection process at the various stages of the algorithm toward a uniformly spread-out Pareto-optimal front

Value

A vector with the dummy fitness.

Author(s)

Francisco Benitez [e-mail]

References

N. Srinivas and K. Deb, 'Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms,' in Evolutionary Computation, vol. 2, no. 3, pp. 221-248, Sept. 1994, doi: 10.1162/evco.1994.2.3.221.

See Also

non_dominated_fronts()