Enum Strategy 

pub enum Strategy {
    BottomLeftFill,
    NfpGuided,
    GeneticAlgorithm,
    Brkga,
    SimulatedAnnealing,
    ExtremePoint,
    Gdrr,
    Alns,
    MilpExact,
    HybridExact,
}

Optimization strategy.

Variants

BottomLeftFill

Bottom-Left Fill (fast, lower quality).

NfpGuided

NFP-guided placement (balanced).

GeneticAlgorithm

Genetic Algorithm (slower, higher quality).

Brkga

Biased Random-Key Genetic Algorithm (balanced, robust).

SimulatedAnnealing

Simulated Annealing.

ExtremePoint

Extreme Point heuristic (3D only).

Gdrr

Goal-Driven Ruin and Recreate (GDRR).

Alns

Adaptive Large Neighborhood Search (ALNS).

MilpExact

MILP-based exact solver (small instances, optimal solution).

HybridExact

Hybrid: Try exact first, fallback to heuristic on timeout.

Implementations

impl Strategy

pub const ALL: [Self; 10]

Every strategy, in the order of Strategy::NAMES.

pub const NAMES: [&'static str; 10]

The short name of each strategy – what a refusal of an unknown name lists as expected. Strategy::parse reads these and the longer forms in Strategy::SPELLINGS.

pub const SPELLINGS: [(&'static str, Self); 18]

Every spelling Strategy::parse reads, with the strategy it names: the Strategy::NAMES and their longer forms.

pub fn name(self) -> &'static str

The strategy’s short name – its entry in Strategy::NAMES.

pub fn is_offered(self, dimension: Dimension) -> bool

Whether dimension offers this strategy in this build. 2D nesting offers every strategy but extreme point; the exact strategies only in a build with the milp feature. 3D packing offers bottom-left (layer) fill, extreme point and the three population/annealing searches.

pub fn offered(dimension: Dimension) -> Vec<Self>

The strategies dimension offers in this build, in Strategy::NAMES order.

pub fn reads_setting(self, dimension: Dimension, setting: &str) -> bool

Whether this strategy, run in dimension, reads setting (one of SETTINGS). This is the one table both the refusal of a setting the strategy does not read (ConfigRequest::to_config) and the published description of each strategy (Strategy::reads) come from.

• spacing, margin, time_limit_ms: every strategy.
• multi_sheet: every 2D strategy (3D packing has no sheets).
• crossover_rate, mutation_rate: the genetic algorithm.
• population_size, max_generations: the two population searches.
• max_iterations: the single-solution searches (SA, GDRR, ALNS, and the hybrid’s ALNS fallback).
• seed: the stochastic searches (and the hybrid’s ALNS fallback).
• target_utilization: the searches that stop on a target (GA, BRKGA, SA).

A name outside SETTINGS is read by nothing.

pub fn reads(self, dimension: Dimension) -> Vec<&'static str>

The settings this strategy reads in dimension, in SETTINGS order (see Self::reads_setting).

pub fn readers_of(dimension: Dimension, setting: &str) -> Vec<&'static str>

The names of the strategies dimension offers that read setting.

pub fn parse(name: &str) -> Option<Self>

Parses a strategy name (case-insensitive, whitespace-trimmed).

Returns None for unrecognized names so callers surface an explicit error instead of silently falling back to a default strategy (which hides typos from consumers). This is the single source of truth for strategy-name parsing across all bindings (C FFI, Python, WASM).

Trait Implementations

impl Clone for Strategy

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Strategy

impl Debug for Strategy

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

Formats the value using the given formatter.

impl Default for Strategy

fn default() -> Self

Returns the “default value” for a type.

impl Eq for Strategy

impl PartialEq for Strategy

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for Strategy