A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Production Economics"
DOI: 10.1016/j.ijpe.2021.108342
Abstract: Abstract This paper deals with a Genetic Programming (GP) approach for solving flexible shop scheduling problems. The adopted approach aims to generate priority rules in the form of an expression tree for dispatching jobs. Therefore,… read more here.
Keywords: flexible shop; shop scheduling; approach; scheduling problems ... See more keywords
Extracting priority rules for dynamic multi-objective flexible job shop scheduling problems using gene expression programming
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Production Research"
DOI: 10.1080/00207543.2018.1543964
Abstract: In this paper, two new approaches are proposed for extracting composite priority rules for scheduling problems. The suggested approaches use simulation and gene expression programming and are able to evolve specific priority rules for all… read more here.
Keywords: priority rules; priority; scheduling problems; gene expression ... See more keywords
A Two-Stage Algorithm Based on 12 Priority Rules for the Stochastic Distributed Resource-Constrained Multi-Project Scheduling Problem With Multi-Skilled Staff
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DOI: 10.1109/access.2023.3261139
Abstract: In practical multi-skilled resource-constrained multi-project management, the activity duration is often affected by some factors (e.g., rework, increased workload), leading to uncertainty. Moreover, multiple projects are often managed under a distributed decision-making environment. To deal… read more here.
Keywords: multi skilled; multi project; multi; stage ... See more keywords