Enum Strategy

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pub enum Strategy {
Show 16 variants    Best1Bin,
    Best1Exp,
    Rand1Bin,
    Rand1Exp,
    Rand2Bin,
    Rand2Exp,
    CurrentToBest1Bin,
    CurrentToBest1Exp,
    Best2Bin,
    Best2Exp,
    RandToBest1Bin,
    RandToBest1Exp,
    AdaptiveBin,
    AdaptiveExp,
    LShadeBin,
    LShadeExp,
}

Expand description

Differential Evolution mutation/crossover strategy.

The strategy name follows the pattern {mutation}{n}{crossover} where:

mutation: Base vector selection (Best, Rand, CurrentToBest, RandToBest, Adaptive)
n: Number of difference vectors (1 or 2)
crossover: Crossover type (Bin = binomial, Exp = exponential)

Variants§

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Best1Bin

Best/1/Bin: Best individual + 1 difference vector, binomial crossover

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Best1Exp

Best/1/Exp: Best individual + 1 difference vector, exponential crossover

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Rand1Bin

Rand/1/Bin: Random individual + 1 difference vector, binomial crossover

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Rand1Exp

Rand/1/Exp: Random individual + 1 difference vector, exponential crossover

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Rand2Bin

Rand/2/Bin: Random individual + 2 difference vectors, binomial crossover

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Rand2Exp

Rand/2/Exp: Random individual + 2 difference vectors, exponential crossover

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CurrentToBest1Bin

Current-to-best/1/Bin: Blend of current and best + 1 diff, binomial crossover

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CurrentToBest1Exp

Current-to-best/1/Exp: Blend of current and best + 1 diff, exponential crossover

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Best2Bin

Best/2/Bin: Best individual + 2 difference vectors, binomial crossover

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Best2Exp

Best/2/Exp: Best individual + 2 difference vectors, exponential crossover

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RandToBest1Bin

Rand-to-best/1/Bin: Blend of random and best + 1 diff, binomial crossover

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RandToBest1Exp

Rand-to-best/1/Exp: Blend of random and best + 1 diff, exponential crossover

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AdaptiveBin

Adaptive mutation with binomial crossover (SAM approach)

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AdaptiveExp

Adaptive mutation with exponential crossover

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LShadeBin

L-SHADE with binomial crossover: current-to-pbest/1 + linear pop reduction + archive

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LShadeExp

L-SHADE with exponential crossover: current-to-pbest/1 + linear pop reduction + archive

Trait Implementations§

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impl Clone for Strategy

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fn clone(&self) -> Strategy

Returns a duplicate of the value. Read more

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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for Strategy

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl FromStr for Strategy

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type Err = String

The associated error which can be returned from parsing.

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fn from_str(s: &str) -> Result<Self, Self::Err>

Parses a string s to return a value of this type. Read more

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impl Copy for Strategy

Auto Trait Implementations§

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impl UnwindSafe for Strategy

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dest. Read more

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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