A BRKGA for the integrated scheduling problem in FMSs
Abstract
References
Index Terms
- A BRKGA for the integrated scheduling problem in FMSs
Recommendations
A biased random key genetic algorithm for the field technician scheduling problem
This paper addresses a problem that service companies often face: the field technician scheduling problem. The problem considers the assignment of a set of jobs or service tasks to a group of technicians. The tasks are in different locations within a ...
Hybrid Hyper-heuristic Algorithm for Integrated Production and Transportation Scheduling Problem in Distributed Permutation Flow Shop
Advanced Intelligent Computing Technology and ApplicationsAbstractResearching the integrated production and transportation scheduling problem (IPTSP) is a great way to improve the overall benefits of companies, especially global ones, in the supply chain. In this study, we propose a novel hybrid hyper-heuristic ...
BRKGA Algorithm for the Capacitated Arc Routing Problem
We propose a new algorithm for the Capacitated Arc Routing Problem (CARP). Our motivation to deal with this problem is related to its application in several real world scenarios such as street sweeping, urban waste collection and electric meter reading ...
Comments
Information & Contributors
Information
Published In

- Editor:
- Manuel López-Ibáñez,
- General Chairs:
- Anne Auger,
- Thomas Stützle
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- EDER/COMPETE2020/POCI/ MCTES/FCT
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 55Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in