English

Iterative beam search algorithms for the permutation flowshop

Artificial Intelligence 2020-09-15 v1 Neural and Evolutionary Computing Optimization and Control

Abstract

We study an iterative beam search algorithm for the permutation flowshop (makespan and flowtime minimization). This algorithm combines branching strategies inspired by recent branch-and-bounds and a guidance strategy inspired by the LR heuristic. It obtains competitive results, reports many new-best-so-far solutions on the VFR benchmark (makespan minimization) and the Taillard benchmark (flowtime minimization) without using any NEH-based branching or iterative-greedy strategy. The source code is available at: https://gitlab.com/librallu/cats-pfsp.

Keywords

Cite

@article{arxiv.2009.05800,
  title  = {Iterative beam search algorithms for the permutation flowshop},
  author = {Luc Libralesso and Pablo Andres Focke and Aurélien Secardin and Vincent Jost},
  journal= {arXiv preprint arXiv:2009.05800},
  year   = {2020}
}
R2 v1 2026-06-23T18:29:30.649Z