dict_recombinators_cmpmaybe {miesmuschel}

Recombinator Choosing Action Component-Wise Independently

Description

Recombinator that chooses which operation to perform probabilistically and independently for each component. The Recombinator wraps two other Recombinators given during construction, and both of these operators are run. The ultimate result is sampled from the results of these operations independently for each individuum and component: with probability p (configuration parameter), the result from the Recombinator given to the recombinator construction argument is used, and with probability p - 1 the one given to recombinator_not is used.

The values of ⁠$n_indivs_in⁠ and ⁠$n_indivs_out⁠ is set to the corresponding values of the wrapped Recombinators. Both recombinator and recombinator_not must currently have the same respective ⁠$n_indivs_in⁠ and ⁠$n_indivs_out⁠ values.

Configuration Parameters

This operator has the configuration parameters of the Recombinators that it wraps: The configuration parameters of the operator given to the recombinator construction argument are prefixed with "cmpmaybe.", the configuration parameters of the operator given to the recombinator_not construction argument are prefixed with "cmpmaybe_not.".

Additional configuration parameters:

• p :: numeric(1)
  Probability per component with which to use the result of applying the operator given to the recombinator construction argument. Must be set by the user.

Supported Operand Types

Supported Domain classes are the set intersection of supported classes of recombinator and recombinator_not.

Dictionary

This Recombinator can be created with the short access form rec() (recs() to get a list), or through the the dictionary dict_recombinators in the following way:

# preferred:
rec("cmpmaybe", <recombinator> [, <recombinator_not>])
recs("cmpmaybe", <recombinator> [, <recombinator_not>])  # takes vector IDs, returns list of Recombinators

# long form:
dict_recombinators$get("cmpmaybe", <recombinator> [, <recombinator_not>])

Super classes

miesmuschel::MiesOperator -> miesmuschel::Recombinator -> RecombinatorCmpMaybe

Active bindings

recombinator

(Recombinator)
Recombinator being wrapped. This operator gets run with probability p (configuration parameter).

recombinator_not

(Recombinator)
Alternative Recombinator being wrapped. This operator gets run with probability 1 - p (configuration parameter).

Methods

Public methods

• RecombinatorCmpMaybe$new()

• RecombinatorCmpMaybe$prime()

• RecombinatorCmpMaybe$clone()

Inherited methods

• miesmuschel::MiesOperator$help()
• miesmuschel::MiesOperator$operate()
• miesmuschel::MiesOperator$print()
• miesmuschel::MiesOperator$repr()

Method new()

Initialize the RecombinatorCmpMaybe object.

Usage

RecombinatorCmpMaybe$new(recombinator, recombinator_not = NULL)

Arguments

recombinator

(Recombinator)
Recombinator to wrap. Component-wise results of this operator are used with probability p (Configuration parameter).
The constructed object gets a clone of this argument. The ⁠$recombinator⁠ field will reflect this value.

recombinator_not

(Recombinator)
Another Recombinator to wrap. Results from this operator are used when recombinator is not chosen. By default, this is RecombinatorNull, i.e. no operation, with both n_indivs_in and n_indivs_out set to match recombinator. This does not work when recombinator has n_indivs_in < n_indivs_out, in which case this argument must be set explicitly.
With this default, the RecombinatorCmpMaybe object applies the recombinator operation with probability p, and no operation at all otherwise.
The constructed object gets a clone of this argument. The ⁠$recombinator_not⁠ field will reflect this value.

Method prime()

See MiesOperator method. Primes both this operator, as well as the wrapped operators given to recombinator and recombinator_not during construction.

Usage

RecombinatorCmpMaybe$prime(param_set)

Arguments

param_set

(ParamSet)
Passed to MiesOperator⁠$prime()⁠.

Returns

invisible self.

Method clone()

The objects of this class are cloneable with this method.

Usage

RecombinatorCmpMaybe$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other recombinators: OperatorCombination, Recombinator, RecombinatorPair, dict_recombinators_convex, dict_recombinators_cvxpair, dict_recombinators_maybe, dict_recombinators_null, dict_recombinators_proxy, dict_recombinators_sbx, dict_recombinators_sequential, dict_recombinators_swap, dict_recombinators_xonary, dict_recombinators_xounif

Other recombinator wrappers: OperatorCombination, dict_recombinators_maybe, dict_recombinators_proxy, dict_recombinators_sequential

Examples

set.seed(1)
rm = rec("cmpmaybe", rec("swap"), p = 0.5)
p = ps(x = p_int(1, 8), y = p_dbl(1, 8), z = p_lgl())
data = data.frame(x = 1:8, y = 1:8, z = rep(TRUE, 4))

rm$prime(p)
rm$operate(data)

rm$param_set$values$p = 0.3
rm$operate(data)

# equivalent to rec("cmpmaybe", rec("swap", keep_complement = FALSE), p = 0.7)
rm2 = rec("cmpmaybe",
  recombinator = rec("null", 2, 1),
  recombinator_not = rec("swap", keep_complement = FALSE),
  p = 0.3
)

rm2$prime(p)
rm2$operate(data)