Module algorithms 

Algorithm layer for optimization execution.

This module exposes:

• the Algorithm trait (shared runtime contract),
• built-in algorithm implementations,
• termination criteria and execution snapshots,
• async helpers for running multiple algorithm instances.

Typical users consume algorithm types through roma::algorithms or roma::prelude.

Structs

DifferentialEvolution

Differential Evolution optimizer for bounded real-valued problems.

DifferentialEvolutionParameters

Configuration for DifferentialEvolution.

ExecutionContext

Execution context passed to algorithm routines.

ExecutionStateSnapshot

Shared execution snapshot emitted by algorithms and consumed by termination logic/observers.

GeneticAlgorithm

GeneticAlgorithmParameters

HillClimbing

Hill Climbing optimization algorithm.

HillClimbingParameters

Configuration parameters for the Hill Climbing algorithm.

NSGAII

NSGAIIParameters

PSO

PSOParameters

Configuration parameters for Binary PSO.

SimulatedAnnealing

SimulatedAnnealingParameters

TabuSearch

Tabu Search optimizer for discrete and combinatorial problems.

TabuSearchParameters

Configuration for TabuSearch.

TerminationController

TerminationCriteria

Aggregates termination criteria in a single structure.

TerminationState

Internal state used to track stopping-criteria progress.

VNS

Variable Neighborhood Search optimizer parameterized by explicit neighborhood operators.

VNSParameters

Configuration for VNS.

Enums

TerminationCriterion

Defines stopping criteria for optimization algorithms.

TerminationReason

Traits

Algorithm

Basic interface for all optimization algorithms.

StepStateCheckpoint

Functions

run_algorithm_instances_async

Executes a batch of algorithm instances concurrently over one shared problem.

run_algorithms_async

Executes a batch of independent jobs concurrently.

spawn_algorithm_run

Spawns one algorithm execution in a dedicated thread.