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DEConfig

Struct DEConfig 

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pub struct DEConfig {
Show 22 fields pub maxiter: usize, pub popsize: usize, pub tol: f64, pub atol: f64, pub mutation: Mutation, pub recombination: f64, pub strategy: Strategy, pub crossover: Crossover, pub init: Init, pub updating: Updating, pub seed: Option<u64>, pub integrality: Option<Vec<bool>>, pub x0: Option<Array1<f64>>, pub disp: bool, pub callback: Option<CallbackFn>, pub penalty_ineq: Vec<PenaltyTuple>, pub penalty_eq: Vec<PenaltyTuple>, pub linear_penalty: Option<LinearPenalty>, pub polish: Option<PolishConfig>, pub adaptive: AdaptiveConfig, pub parallel: ParallelConfig, pub lshade: LShadeConfig,
}
Expand description

Configuration for the Differential Evolution optimizer.

This struct holds all parameters controlling the DE algorithm behavior, including population size, mutation/crossover settings, constraints, and convergence criteria.

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§maxiter: usize

Maximum number of generations (iterations).

§popsize: usize

Population size multiplier (total NP = popsize * n_params_free).

§tol: f64

Relative tolerance for convergence (population energy std dev).

§atol: f64

Absolute tolerance for convergence on best fitness.

§mutation: Mutation

Mutation factor setting.

§recombination: f64

Crossover probability CR in [0, 1].

§strategy: Strategy

Mutation/crossover strategy.

§crossover: Crossover

Crossover type (binomial or exponential).

§init: Init

Population initialization scheme.

§updating: Updating

Update timing (deferred).

§seed: Option<u64>

Optional random seed for reproducibility.

§integrality: Option<Vec<bool>>

Optional integrality mask; true => variable is integer-constrained.

§x0: Option<Array1<f64>>

Optional initial guess used to replace the best member after init.

§disp: bool

Print objective best at each iteration.

§callback: Option<CallbackFn>

Optional per-iteration callback (may stop early).

§penalty_ineq: Vec<PenaltyTuple>

Penalty-based inequality constraints: fc(x) <= 0.

§penalty_eq: Vec<PenaltyTuple>

Penalty-based equality constraints: h(x) = 0.

§linear_penalty: Option<LinearPenalty>

Optional linear constraints treated by penalty: lb <= A x <= ub.

§polish: Option<PolishConfig>

Polishing configuration (optional).

§adaptive: AdaptiveConfig

Adaptive differential evolution configuration.

§parallel: ParallelConfig

Parallel evaluation configuration.

§lshade: LShadeConfig

L-SHADE configuration for population reduction and pbest selection.

Trait Implementations§

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impl Default for DEConfig

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fn default() -> Self

Returns the “default value” for a type. Read more

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