Constrained multi-objective optimization based on Lasso double machine learning

doi:10.1016/j.swevo.2026.102550

Constrained multi-objective optimization based on Lasso double machine learning

2026-09-30

0

PRE

AI

DOI：10.1016/j.swevo.2026.102550

Original

Original request for help

Save

Abstract

En 中文

• Use double machine learning to estimate effects of infeasible-solution ratios. • Use least absolute shrinkage and selection operator to select controls. • Map causal effects to guide adaptive population reconstruction. • Use feedback to stabilize replacement decisions during search. • Test thirty-five constrained multi-objective problems across constraint types.

Keywords:

Constrained multi-objective optimization

Constraint handling techniques

Causal inference

Double machine learning

Constrained multi-objective optimization based on Lasso double machine learning

Abstract

Journal

Organization

Cited Papers