Struct OptimizationConfig 

pub struct OptimizationConfig {
    pub goal: OptimizationGoal,
    pub learningrate: f64,
    pub adaptation_interval: Duration,
    pub history_retention: Duration,
    pub confidence_threshold: f64,
    pub max_adjustment_rate: f64,
    pub enable_prediction: bool,
    pub enable_multi_objective: bool,
    pub resource_constraints: ResourceConstraints,
    pub enable_rollback: bool,
    pub monitoring_window: Duration,
}

Adaptive optimization configuration

Fields

goal: OptimizationGoal

Primary optimization goal

learningrate: f64

Learning rate for adaptive algorithms

adaptation_interval: Duration

Interval between optimization adjustments

history_retention: Duration

Historical data retention period

confidence_threshold: f64

Minimum confidence threshold for changes

max_adjustment_rate: f64

Maximum parameter adjustment per iteration (safety limit)

enable_prediction: bool

Enable predictive modeling

enable_multi_objective: bool

Enable multi-objective optimization

resource_constraints: ResourceConstraints

Resource constraints

enable_rollback: bool

Enable rollback on performance degradation

monitoring_window: Duration

Performance monitoring window

Implementations

impl OptimizationConfig

pub fn production() -> Self

Create production-optimized configuration

pub fn development() -> Self

Create development-optimized configuration

pub fn memory_optimized() -> Self

Create memory-optimized configuration

pub fn with_goal(self, goal: OptimizationGoal) -> Self

Set optimization goal

pub fn with_learningrate(self, rate: f64) -> Self

Set learning rate

pub fn with_adaptation_interval(self, interval: Duration) -> Self

Set adaptation interval

pub fn with_confidence_threshold(self, threshold: f64) -> Self

Set confidence threshold

pub fn with_prediction(self, enable: bool) -> Self

Enable predictive modeling

pub fn with_resource_constraints(self, constraints: ResourceConstraints) -> Self

Set resource constraints

Trait Implementations

impl Clone for OptimizationConfig

fn clone(&self) -> OptimizationConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OptimizationConfig

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

Formats the value using the given formatter.

impl Default for OptimizationConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for OptimizationConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for OptimizationConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.