Surrogate-based optimization via clustering for box-constrained problems

Maaz Ahmad

doi:10.1016/j.compchemeng.2026.109559

Surrogate-based optimization via clustering for box-constrained problems

2026-01-09

0

PRE

AI

DOI：10.1016/j.compchemeng.2026.109559

Original

Original request for help

Save

Abstract

En 中文

• Generic framework for surrogate-based optimization. • Use of k-means clustering for fast and efficient domain exploration. • Distinct points for exploration and exploitation. • Agnostic to surrogate modeling technique. • Superior success in identifying and converging to a global minimum with lower compute effort.

Surrogate-based optimization via clustering for box-constrained problems

Abstract

Journal

Organization