Search Results - subject:"jssp"

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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

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

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

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

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

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

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

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