A simple solution to technician routing and scheduling problem using improved genetic algorithm
Published 2022 View Full Article
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Title
A simple solution to technician routing and scheduling problem using improved genetic algorithm
Authors
Keywords
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Journal
SOFT COMPUTING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-04-10
DOI
10.1007/s00500-022-07072-1
References
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Related references
Note: Only part of the references are listed.- Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments
- (2021) Bilal H. Abed-alguni et al. APPLIED SOFT COMPUTING
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- Solving fuzzy capacitated location routing problem using hybrid variable neighborhood search and evolutionary local search
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- A green vehicle routing model based on modified particle swarm optimization for cold chain logistics
- (2018) Yan Li et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- Branch-and-price approaches for the Multiperiod Technician Routing and Scheduling Problem
- (2017) Emilio Zamorano et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A biased random key genetic algorithm for the field technician scheduling problem
- (2016) Ricardo B. Damm et al. COMPUTERS & OPERATIONS RESEARCH
- The technician routing problem with experience-based service times
- (2016) Xi Chen et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Personnel scheduling: A literature review
- (2012) Jorne Van den Bergh et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A parallel matheuristic for the technician routing and scheduling problem
- (2012) V. Pillac et al. Optimization Letters
- Algorithms for large scale Shift Minimisation Personnel Task Scheduling Problems
- (2011) M. Krishnamoorthy et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Adaptive large neighborhood search for service technician routing and scheduling problems
- (2011) Attila A. Kovacs et al. JOURNAL OF SCHEDULING
- Personnel scheduling: Models and complexity
- (2010) Peter Brucker et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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