sbx_control: Simulated binary crossover (SBX) control parameters

In emoa: Evolutionary Multiobjective Optimization Algorithms

Simulated binary crossover (SBX) control parameters

Description

sbx_control interprets the following parameters used to control the behaviour of the simulated binary crossover operator (see sbx_operator):

sbx.n

Nu parameter of SBX.

sbx.p

$p$ parameter of SBX.

Usage

  sbx_control(f, upper, lower, ..., control,
    default = list())

Arguments

f	Multiobjectve optimization function.
upper	Upper bounds of parameter space.
lower	Lower bounds of parameter space.
...	Further arguments passed to f.
control	List of control parameters.
default	List of default control parameters.

Value

The control list with suitably adjusted arguments. Missing control parameters are taken from default or, if not present there, from an internal default.

Author(s)

Olaf Mersmann [e-mail]

emoa documentation built on May 31, 2023, 8:40 p.m.