R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 5 of 5 found.
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nsga2 (Package: mco) : NSGA II MOEA

The NSGA-II algorithm minimizes a multidimensional function to approximate its Pareto front and Pareto set. It does this by successive sampling of the search space, each such sample is called a population. The number of samples taken is governed by the generations parameter, the size of the sample by the popsize parameter. Each population is obtained by creating so called offspring search points from the best individuals in the previous population. The best individuals are calculated by non-dominated sorting breaking ties using the crowding distance. The total number of function evaluations used is

● Data Source: CranContrib
● Keywords: optimize
● Alias: nsga2
● 0 images

normalizeFront (Package: mco) : Normalize a pareto front

Rescales a pareto front to be in the unit hypercube

● Data Source: CranContrib
● Keywords:
● Alias: normalizeFront
● 0 images

functions (Package: mco) : MCO test problems

Collection of functions implementing various MCO test problems.

● Data Source: CranContrib
● Keywords:
● Alias: belegundu, belegundu.constr, binh1, binh2, binh2.constr, binh3, deb3, fonseca1, fonseca2, gianna, hanne1, hanne1.constr, hanne2, hanne2.constr, hanne3, hanne3.constr, hanne4, hanne4.constr, hanne5, hanne5.constr, jimenez, jimenez.constr, vnt, zdt1, zdt2, zdt3
● 0 images

generationalDistance (Package: mco) : Quality measures for MCO solutions

Functions to evaulate the quality of the estimated pareto front.

● Data Source: CranContrib
● Keywords:
● Alias: dominatedHypervolume, epsilonIndicator, generalizedSpread, generationalDistance
● 0 images

paretoFront (Package: mco) : Pareto Front and pareto set getters

Extract the pareto front or pareto set from an mco result object.

● Data Source: CranContrib
● Keywords:
● Alias: paretoFilter, paretoFront, paretoSet
● 0 images