Design of an efficient genetic algorithm for resource-constrained unrelated parallel machine scheduling problem with machine eligibility restrictions
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Design of an efficient genetic algorithm for resource-constrained unrelated parallel machine scheduling problem with machine eligibility restrictions
Authors
Keywords
Unrelated parallel machine scheduling, Resource constraints, Machine eligibility restriction, Genetic algorithm
Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume 29, Issue 2, Pages 423-437
Publisher
Springer Nature
Online
2015-06-23
DOI
10.1007/s10845-015-1117-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Genetic algorithm with local search for the unrelated parallel machine scheduling problem with sequence-dependent set-up times
- (2014) Duygu Yilmaz Eroglu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A heuristic-search genetic algorithm for multi-stage hybrid flow shop scheduling with single processing machines and batch processing machines
- (2014) Dongni Li et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A constraint programming model for the scheduling of JIT cross-docking systems with preemption
- (2014) M. H. Fazel Zarandi et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times
- (2014) M. H. Alavidoost et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem
- (2013) S.A. Torabi et al. APPLIED SOFT COMPUTING
- Parallel machine scheduling with additional resources: Notation, classification, models and solution methods
- (2013) Emrah B. Edis et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Non-permutation flowshop scheduling with dual resources
- (2013) Yasaman Mehravaran et al. EXPERT SYSTEMS WITH APPLICATIONS
- A multi-objective genetic algorithm for yard crane scheduling problem with multiple work lines
- (2013) Cheng-Ji Liang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Optimization technique by genetic algorithms for international logistics
- (2013) Kazuhiro Takeyasu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- An adaptive genetic algorithm for the time dependent inventory routing problem
- (2013) Dong Won Cho et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Scheduling unrelated parallel machines in semiconductor manufacturing by problem reduction and local search heuristics
- (2012) I-Lin Wang et al. Flexible Services and Manufacturing Journal
- An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process
- (2012) Quan-Ke Pan et al. IEEE Transactions on Automation Science and Engineering
- A two-stage Ant Colony optimization algorithm to minimize the makespan on unrelated parallel machines—part II: enhancements and experimentations
- (2012) Jean-Paul Arnaout et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A genetic algorithm application using fuzzy processing times in non-identical parallel machine scheduling problem
- (2011) Pelin Alcan et al. ADVANCES IN ENGINEERING SOFTWARE
- Parallel machine scheduling problem to minimize the makespan with resource dependent processing times
- (2011) Kai Li et al. APPLIED SOFT COMPUTING
- Parallel machine scheduling problem with ready times, due times and sequence-dependent setup times using meta-heuristic algorithms
- (2011) Cheol Min Joo et al. ENGINEERING OPTIMIZATION
- A genetic algorithm for the unrelated parallel machine scheduling problem with sequence dependent setup times
- (2011) Eva Vallada et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Scheduling identical parallel machines with machine eligibility restrictions to minimize total weighted flowtime in automobile gear manufacturing
- (2011) Ravindra Gokhale et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Solution approaches for a real-life resource-constrained parallel machine scheduling problem
- (2011) Emrah B. Edis et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Integrating dominance properties with genetic algorithms for parallel machine scheduling problems with setup times
- (2010) Pei-Chann Chang et al. APPLIED SOFT COMPUTING
- A variable neighborhood search approach for planning and scheduling of jobs on unrelated parallel machines
- (2010) Andrew Bilyk et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Design of a genetic algorithm for bi-objective unrelated parallel machines scheduling with sequence-dependent setup times and precedence constraints
- (2009) R. Tavakkoli-Moghaddam et al. COMPUTERS & OPERATIONS RESEARCH
- The distributed permutation flowshop scheduling problem
- (2009) B. Naderi et al. COMPUTERS & OPERATIONS RESEARCH
- Scheduling identical parallel batch processing machines to minimise makespan using genetic algorithms
- (2009) Purushothaman Damodaran et al. European Journal of Industrial Engineering
- Minimising makespan on parallel machines with precedence constraints and machine eligibility restrictions
- (2009) Xiaofeng Hu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Minimizing total tardiness for the machine scheduling and worker assignment problems in identical parallel machines using genetic algorithms
- (2008) Imran Ali Chaudhry et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Parallel robot scheduling to minimize mean tardiness with precedence constraints using a genetic algorithm
- (2007) Tarık Çakar et al. ADVANCES IN ENGINEERING SOFTWARE
- Parallel machine scheduling with machine availability and eligibility constraints
- (2007) Lu-Wen Liao et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A hybrid genetic heuristic for scheduling parallel batch processing machines with arbitrary job sizes
- (2006) Ali Husseinzadeh Kashan et al. COMPUTERS & OPERATIONS RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search