Scenario Reduction for Two-Stage Stochastic Programming using Variance-Weighted K-means and Particle Swarm Optimization

KS

Kanisorn Sritapak King Mongkut’s Institute of Technology Ladkrabang

2026

7th Asia Pacific Conference on Industrial Engineering and Operations Management

Cost-Driven Scenario Reduction via Data-Space K-means and Nearest Economic Selection for Stochastic Programming

UJ

Udom Janjarassuk King Mongkut's Institute of Technology Ladkrabang

2026

16th International Conference on Industrial Engineering and Operations Management