pareto: Pareto Object

In mopsocd: MOPSOCD: Multi-objective Particle Swarm Optimization with Crowding Distance

Description

MOPSOCD returns a pareto object that contains the optimization results as well as the settings used to obtain them.

Value

A pareto object has the following fields:

numsols	Number of solutions found
paramvalues	Estimated Parameter Values
objfnvalues	Values of the Objectives
fn	Objective functions optimized
gn	Constraints used
varcnt	Number of Parameters
fncnt	Number of Objectives
lowerbound	Parameter Lower Bound
upperbound	Parameter Upper Bound
opt	Optimization type (0: minimization; 1: maximization)
popsize	Population Size
maxgen	Number of Generations
archivesize	Maximum size of archive containing non-dominated points
verbosity	Verbosity Level
pMut	Mutation Probability
w	Inertia Weight
c1	Acceleration Coefficient 1
c2	Acceleration Coefficient 2

See Also

mopsocd examples

mopsocd documentation built on May 2, 2019, 2:38 p.m.