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  • Search: subject:"JSSP"
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Subject
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Scheduling problem 6 Scheduling-Verfahren 6 JSSP 5 Theorie 5 Theory 5 Production control 4 Produktionssteuerung 4 Algorithm 3 Algorithmus 3 Complete decomposition 2 Durchlaufzeit 2 Evolutionary algorithm 2 Evolutionärer Algorithmus 2 Helper-objectives 2 Job shop scheduling problem (JSSP) 2 Lead time 2 Multi-Objectivization via Segmentation (MOS) 2 Multi-objectivization 2 job shop scheduling problem 2 makespan 2 Agent-Based Model 1 Algorithm selection 1 Automated algorithm selection 1 Business process management 1 DES 1 Decomposition method 1 Dekompositionsverfahren 1 Genetic Algorithm 1 Graph theory 1 Graphentheorie 1 Heuristics 1 Heuristik 1 ISA 1 Instance space analysis 1 Job scheduling 1 Job shop scheduling 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1
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Undetermined 4 Free 1
Type of publication
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Article 8
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6
Language
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English 6 Undetermined 2
Author
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Ciarallo, Frank W. 2 Lochtefeld, Darrell F. 2 Chandrasekaran, M. 1 Chun, Jaehyeong 1 Fumagalli, Luca 1 Hu, Rong-Song 1 Hu, Xiang-Ping 1 Kim, Sang Hun 1 Kim, Youngkook 1 Liu, Li-Lan 1 Macchi, Marco 1 Musliu, Nysret 1 NICOARA, Elena Simona 1 Negri, Elisa 1 Park, Jinkyoo 1 Park, Junyoung 1 Polenghi, Adalberto 1 Sottoriva, Edoardo 1 Strassl, Simon 1 Udaiyakumar, Kuppuswamy Chockalingam 1 Wang, Sen 1 Zhao, Gai-Ping 1
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Published in...
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International journal of production research 2 Computers & operations research : and their applications to problems of world concern ; an international journal 1 European Journal of Operational Research 1 European journal of operational research : EJOR 1 Informatica Economica 1 International journal of enterprise network management 1 International journal of management and decision making : IJMDM 1
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Source
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ECONIS (ZBW) 6 RePEc 2
Showing 1 - 8 of 8
Did you mean: subject:"issp" (30 results)
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Instance space analysis and algorithm selection for the job shop scheduling problem
Strassl, Simon; Musliu, Nysret - In: Computers & operations research : and their … 141 (2022), pp. 1-22
Persistent link: https://www.econbiz.de/10013185130
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Learning to schedule job-shop problems : representation and policy learning using graph neural network and reinforcement learning
Park, Junyoung; Chun, Jaehyeong; Kim, Sang Hun; Kim, … - In: International journal of production research 59 (2021) 11, pp. 3360-3377
Persistent link: https://www.econbiz.de/10012589157
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Procedural Optimization Models for Multiobjective Flexible JSSP
NICOARA, Elena Simona - In: Informatica Economica 17 (2013) 1, pp. 62-73
in the literature than the JSSP framework, which has been extensively formalized, modeled and analyzed from many …
Persistent link: https://www.econbiz.de/10010819155
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A novel scheduling framework : integrating genetic algorithms and discrete event simulation
Fumagalli, Luca; Negri, Elisa; Sottoriva, Edoardo; … - In: International journal of management and decision making … 17 (2018) 4, pp. 371-395
Persistent link: https://www.econbiz.de/10011971626
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A hybrid PSO-GA algorithm for job shop scheduling in machine tool production
Liu, Li-Lan; Hu, Rong-Song; Hu, Xiang-Ping; Zhao, Gai-Ping - In: International journal of production research 53 (2015) 19, pp. 5755-5781
Persistent link: https://www.econbiz.de/10011420802
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An approach of a Lampyridae family (firefly) algorithm for optimisation of Bagchi's job shop scheduling problems
Udaiyakumar, Kuppuswamy Chockalingam; Chandrasekaran, M. - In: International journal of enterprise network management 6 (2015) 4, pp. 324-339
Persistent link: https://www.econbiz.de/10011539623
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Multi-objectivization via decomposition : an analysis of helper-objectives and complete decomposition
Lochtefeld, Darrell F.; Ciarallo, Frank W. - In: European journal of operational research : EJOR 243 (2015) 2, pp. 395-404
Persistent link: https://www.econbiz.de/10010510095
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Multi-objectivization Via Decomposition: An analysis of helper-objectives and complete decomposition
Lochtefeld, Darrell F.; Ciarallo, Frank W. - In: European Journal of Operational Research 243 (2015) 2, pp. 395-404
Multi-objectivization has been used to solve several single objective problems with improved results over traditional genetically inspired optimization methods. Multi-objectivization reformulates the single objective problem into a multiple objective problem. The reformulated problem is then...
Persistent link: https://www.econbiz.de/10011209324
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