constraint

Create a constraint function for constrained optimization. Only inequality constraints are
supported.

A C++ implementation of the following evolutionary
algorithms: Bat Algorithm (Yang, 2010 <doi:10.1007/978-3-642-12538-6_6>),
Cuckoo Search (Yang, 2009 <doi:10.1109/nabic.2009.5393690>),
Genetic Algorithms (Holland, 1992, ISBN:978-0262581110),
Gravitational Search Algorithm (Rashedi et al., 2009 <doi:10.1016/j.ins.2009.03.004>),
Grey Wolf Optimization (Mirjalili et al., 2014 <doi:10.1016/j.advengsoft.2013.12.007>),
Harmony Search (Geem et al., 2001 <doi:10.1177/003754970107600201>),
Improved Harmony Search (Mahdavi et al., 2007 <doi:10.1016/j.amc.2006.11.033>),
Moth-flame Optimization (Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>),
Particle Swarm Optimization (Kennedy et al., 2001 ISBN:1558605959),
Simulated Annealing (Kirkpatrick et al., 1983 <doi:10.1126/science.220.4598.671>),
Whale Optimization Algorithm (Mirjalili and Lewis, 2016 <doi:10.1016/j.advengsoft.2016.01.008>).
'EmiR' can be used not only for unconstrained optimization problems, but also
in presence of inequality constrains, and variables restricted to be integers.

Lorenzo Sostero

EmiR

Evolutionary Minimizer for R

Davide Pagano

constraint function

<dl><dt>func</dt>
<dd>function describing the constraint.</dd>
<dt>inequality</dt>
<dd>inequality type. Possible values: <code>&gt;</code>, <code>&gt;=</code>, <code>&lt;=</code>, <code>&lt;</code>.</dd></dl>

Arguments

Constraint for minimization — constraint

<dl>

<dt>func</dt>
<dd>function describing the constraint.</dd>


<dt>inequality</dt>
<dd>inequality type. Possible values: <code>&gt;</code>, <code>&gt;=</code>, <code>&lt;=</code>, <code>&lt;</code>.</dd>

</dl>

constraint: Constraint for minimization

Description

Usage

Value

Arguments

Examples