gaMonitor

gaislMonitor

an object of class <code>ga-class</code> or <code>gaisl-class</code>, usually resulting from a call to function <code><a rd-options="" href="/link/ga?package=GA&version=3.2.1" data-mini-rdoc="GA::ga">ga</a></code> or <code><a rd-options="" href="/link/gaisl?package=GA&version=3.2.1" data-mini-rdoc="GA::gaisl">gaisl</a></code>, respectively.

object

minimal number of significant digits.

digits

further arguments passed to or from other methods.

&#8230;

Functions to print summary statistics of fitness values at each iteration of a GA search.

Flexible general-purpose toolbox implementing genetic algorithms (GAs) for stochastic optimisation. Binary, real-valued, and permutation representations are available to optimize a fitness function, i.e. a function provided by users depending on their objective function. Several genetic operators are available and can be combined to explore the best settings for the current task. Furthermore, users can define new genetic operators and easily evaluate their performances. Local search using general-purpose optimisation algorithms can be applied stochastically to exploit interesting regions. GAs can be run sequentially or in parallel, using an explicit master-slave parallelisation or a coarse-grain islands approach.

Luca Scrucca

Genetic Algorithms

gaMonitor function

an object of class <code>ga-class</code> or <code>gaisl-class</code>, usually resulting from a call to function <code><a rd-options='' href='ga'>ga</a></code> or <code><a rd-options='' href='gaisl'>gaisl</a></code>, respectively.

gaMonitor: Monitor genetic algorithm evolution

Description

Usage

Arguments

Value