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Benoît Saenz de Ugarte, Robert Pellerin & Abdelhakim Artiba. (2011) An improved genetic algorithm approach for on-line optimisation problems. Production Planning & Control 22:8, pages 742-753.
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Articles from other publishers (23)
Paulo Figueroa-Torrez, Orlando Durán, Broderick Crawford & Felipe Cisternas-Caneo. (2023) A Binary Black Widow Optimization Algorithm for Addressing the Cell Formation Problem Involving Alternative Routes and Machine Reliability. Mathematics 11:16, pages 3475.
Crossref
Crossref
Jean François Santucci, Laurent Capocchi, Tuncer Ören, Saurabh Mittal, Bo Hu Li, Lin Zhang, Ting Yu Lin, Yuanjun Laili & Claudia Szabo. 2023. Body of Knowledge for Modeling and Simulation. Body of Knowledge for Modeling and Simulation
255
285
.
Danial Rooyani & Fantahun Defersha. (2022) A Two-Stage Multi-Objective Genetic Algorithm for a Flexible Job Shop Scheduling Problem with Lot Streaming. Algorithms 15:7, pages 246.
Crossref
Crossref
Amirreza Hooshyar Telegraphi & Akif Asil Bulgak. (2021) A Mathematical Model for the Sustainable Design of a Cellular Manufacturing System in the Tactical Planning of a Closed-Loop Supply Chain Featuring Alternative Routings and Outsourcing Option. Journal of Advanced Manufacturing Systems 20:01, pages 135-162.
Crossref
Crossref
Guido Schryen. (2020) Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research 287:1, pages 1-18.
Crossref
Crossref
Fantahun M. Defersha & Danial Rooyani. (2020) An efficient two-stage genetic algorithm for a flexible job-shop scheduling problem with sequence dependent attached/detached setup, machine release date and lag-time. Computers & Industrial Engineering 147, pages 106605.
Crossref
Crossref
Tzu-Li Chen, Chen-Yang Cheng & Yi-Han Chou. (2018) Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming. Annals of Operations Research 290:1-2, pages 813-836.
Crossref
Crossref
Yuanjun Laili, Lin Zhang & Yun Li. (2019) Parallel transfer evolution algorithm. Applied Soft Computing 75, pages 686-701.
Crossref
Crossref
Esmaeil Mehdizadeh & Mansour Shamoradifar. 2019. Service Orientation in Holonic and Multi-Agent Manufacturing. Service Orientation in Holonic and Multi-Agent Manufacturing
384
395
.
Subhaa R.Jawahar Natarajan. (2017) Service level-based production smoothening model for robust cellular manufacturing system. The International Journal of Advanced Manufacturing Technology 94:1-4, pages 475-496.
Crossref
Crossref
Mohammad Mahdi Paydar & Mohammad Saidi-Mehrabad. (2017) A hybrid genetic algorithm for dynamic virtual cellular manufacturing with supplier selection. The International Journal of Advanced Manufacturing Technology 92:5-8, pages 3001-3017.
Crossref
Crossref
Esmaeil Mehdizadeh, Seyed Vahid Daei Niaki & Vahid Rahimi. (2016) A vibration damping optimization algorithm for solving a new multi-objective dynamic cell formation problem with workers training. Computers & Industrial Engineering 101, pages 35-52.
Crossref
Crossref
Kamal Deep & Pardeep K Singh. (2016) Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algorithm. Sādhanā 41:9, pages 1063-1079.
Crossref
Crossref
Yuanjun Laili, Fei Tao & Lin Zhang. (2016) Multi operators-based partial connected parallel evolutionary algorithm. Multi operators-based partial connected parallel evolutionary algorithm.
Farzad Niakan, Armand Baboli, Thierry Moyaux & Valérie Botta-Genoulaz. (2016) A bi-objective model in sustainable dynamic cell formation problem with skill-based worker assignment. Journal of Manufacturing Systems 38, pages 46-62.
Crossref
Crossref
Hüsamettin Bayram & Ramazan Şahin. (2016) A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques. Computers & Industrial Engineering 91, pages 10-29.
Crossref
Crossref
Hossein Nouri. (2016) Development of a comprehensive model and BFO algorithm for a dynamic cellular manufacturing system. Applied Mathematical Modelling 40:2, pages 1514-1531.
Crossref
Crossref
Fei Tao, Lin Zhang & Yuanjun LailiFei Tao, Lin Zhang & Yuanjun Laili. 2015. Configurable Intelligent Optimization Algorithm. Configurable Intelligent Optimization Algorithm
127
154
.
Hossein Shirazi, Reza Kia, Nikbakhsh Javadian & Reza Tavakkoli-Moghaddam. (2014) An archived multi-objective simulated annealing for a dynamic cellular manufacturing system. Journal of Industrial Engineering International 10:2.
Crossref
Crossref
Mohamed Ossama, Ayman M.A. Youssef & Mohamed A. Shalaby. (2014) A Multi-period Cell Formation Model for Reconfigurable Manufacturing Systems. Procedia CIRP 17, pages 130-135.
Crossref
Crossref
Manojit Chattopadhyay, Sourav Sengupta, Tamal Ghosh, Pranab K. Dan & Sitanath Mazumdar. (2013) Neuro-genetic impact on cell formation methods of Cellular Manufacturing System design: A quantitative review and analysis. Computers & Industrial Engineering 64:1, pages 256-272.
Crossref
Crossref
Lokesh Kumar Saxena & Promod Kumar Jain. (2010) Dynamic cellular manufacturing systems design—a comprehensive model. The International Journal of Advanced Manufacturing Technology 53:1-4, pages 11-34.
Crossref
Crossref
Katsuhiko Takahashi, Takeshi Yoshikawa, Daisuke Hirotani & Katsumi Morikawa. (2009) An adaptive cellular manufacturing system for responding to changes in demand. An adaptive cellular manufacturing system for responding to changes in demand.