transformFitness

Some selectors support maximization only, e.g., roulette wheel selector, or
minimization (most others). This function computes a factor from -1, 1 for
each objective to match supported selector optimization directions and
the actual objectives of the task.

Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.

Jakob Bossek

Evolutionary Computation in R

Michael H. Buselli

Wessel Dankers

Carlos M. Fonseca

Manuel Lopez-Ibanez

Luis Paquete

Joshua Knowles

Eckart Zitzler

Olaf Mersmann

transformFitness function

<dl><dt>fitness</dt>
<dd>[matrix]
Matrix of fitness values with the fitness vector of individual i in the i-th
column.</dd>
<dt>task</dt>
<dd>[ecr_optimization_task]
Optimization task.</dd>
<dt>selector</dt>
<dd>[ecr_selector] 
Selector object.</dd></dl>

Arguments

Fitness transformation / scaling. — transformFitness

<dl>

<dt>fitness</dt>
<dd>[matrix]
Matrix of fitness values with the fitness vector of individual i in the i-th
column.</dd>


<dt>task</dt>
<dd>[ecr_optimization_task]
Optimization task.</dd>


<dt>selector</dt>
<dd>[ecr_selector] 
Selector object.</dd>

</dl>

transformFitness: Fitness transformation / scaling.

Description

Usage

Value

Arguments