Module optimization 

Multi-Output Learning Optimization Framework

This module provides a comprehensive suite of optimization algorithms for multi-output learning problems. It has been refactored from a monolithic 2697-line file into 5 specialized modules for improved maintainability and focused functionality.

Module Organization

• joint_loss_optimization: Joint loss optimization with multiple loss function combinations
• multi_objective_optimization: Genetic algorithm-based Pareto optimization
• scalarization_methods: Scalarization techniques for multi-objective problems
• nsga2_algorithms: NSGA-II evolutionary algorithms with advanced operators
• evolutionary_multi_objective: Complete NSGA-II implementation with SBX crossover and polynomial mutation
• tests: Comprehensive integration test suite

Key Features

• Joint Loss Functions: MSE, MAE, Huber, Cross-entropy, and Hinge losses
• Loss Combination Strategies: Sum, weighted sum, max, geometric mean, and adaptive
• Multi-Objective Optimization: Pareto-optimal solution discovery
• Scalarization Methods: Weighted sum, epsilon-constraint, and Tchebycheff approaches
• Advanced Evolutionary Algorithms: NSGA-II with SBX crossover and polynomial mutation
• Performance Monitoring: Convergence tracking with hypervolume indicator

Re-exports

pub use joint_loss_optimization::JointLossConfig;

pub use joint_loss_optimization::JointLossOptimizer;

pub use joint_loss_optimization::JointLossOptimizerTrained;

pub use joint_loss_optimization::LossCombination;

pub use joint_loss_optimization::LossFunction;

pub use multi_objective_optimization::MultiObjectiveConfig;

pub use multi_objective_optimization::MultiObjectiveOptimizer;

pub use multi_objective_optimization::MultiObjectiveOptimizerTrained;

pub use multi_objective_optimization::ParetoSolution;

pub use scalarization_methods::ScalarizationConfig;

pub use scalarization_methods::ScalarizationMethod;

pub use scalarization_methods::ScalarizationOptimizer;

pub use scalarization_methods::ScalarizationOptimizerTrained;

pub use nsga2_algorithms::NSGA2Algorithm;

pub use nsga2_algorithms::NSGA2Config;

pub use nsga2_algorithms::NSGA2Optimizer;

pub use nsga2_algorithms::NSGA2OptimizerTrained;

pub use evolutionary_multi_objective::GenerationStats;

pub use evolutionary_multi_objective::Individual;

pub use evolutionary_multi_objective::OptimizationResult;

pub use evolutionary_multi_objective::NSGAII;

Modules

evolutionary_multi_objective

Evolutionary Multi-Objective Optimization Algorithms

joint_loss_optimization

Joint Loss Optimization for Multi-Output Learning

multi_objective_optimization

Multi-Objective Optimization for Multi-Output Learning

nsga2_algorithms

Enhanced Evolutionary Multi-Objective Optimization Algorithms

scalarization_methods

Scalarization Methods for Multi-Objective Optimization