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  • Search: subject:"Metaheuristic optimization"
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Year of publication
Subject
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Metaheuristic optimization 6 Algorithm 3 Algorithmus 3 Evolutionary algorithm 3 Evolutionärer Algorithmus 3 Mathematical programming 3 Mathematische Optimierung 3 Theorie 3 Theory 3 Business model prototyping 2 Evolutionary algorithms 2 Metaheuristic optimization algorithm 2 Product-Service Systems (PSS) 2 Simheuristics 2 Air transport 1 Ant colony optimization 1 Benchmark function 1 Benchmarking 1 Best-informed decision 1 Betriebliche Kreislaufwirtschaft 1 Business network 1 Control optimization 1 Cost prediction 1 Distributed power generation 1 Environmental tax 1 Follow-the-leader algorithm 1 Forecasting model 1 Fuel tax 1 Game theory 1 Genetic algorithm 1 Heuristics 1 Heuristik 1 Interchain competition 1 Kreislaufwirtschaft 1 Leaf Germination 1 Lieferkette 1 Luftverkehr 1 Mass prediction 1 Material flow 1 Materialfluss 1
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Online availability
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Free 6 Undetermined 5 CC license 2
Type of publication
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Article 11
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Article 3
Language
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English 9 Undetermined 2
Author
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Alp, Enes 2 Herzog, Michael 2 Kuhlenkötter, Bernd 2 Meeß, Henri 2 Alam, Shafiq 1 Andersen, Daniel 1 Ayub, Muhammad Sohaib 1 Bringmann, Oliver 1 Castillo-Villar, Krystel K. 1 Fakhrzad, Mohammad Bagher 1 Gerlach, Joachim 1 Herbert-Acero, José F. 1 Hosseini, Farzaneh 1 Kaedi, Marjan 1 Keshavarzzadeh, Amir H. 1 Khan, Muhammad Asad 1 Kottath, Rahul 1 Larsen, Gunner Chr. 1 Liberatore, S. 1 Lingsch, Levi 1 Mast, Johannes 1 Mollashahi, Hossein 1 Nasab, Hasan Hosseini 1 Niazi, Imran Khan 1 Patt, Anthony G. 1 Probst, Oliver 1 Rädle, Stefan 1 Réthoré, Pierre-Elouan 1 Sechi, G. 1 Shoukat, Rizwan 1 Singh, Priyanka 1 Thut, Caspar 1 Zare, Hassan Khademi 1 Zhao, Xin 1
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Published in...
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Decision analytics journal 2 Journal of Intelligent Manufacturing 2 Energies 1 Energy Systems 1 Energy policy 1 International Journal of Applied Metaheuristic Computing (IJAMC) 1 Networks and spatial economics : a journal of infrastructure modeling and computation 1 Water Resources Management 1
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Source
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ECONIS (ZBW) 5 EconStor 3 RePEc 2 Other ZBW resources 1
Showing 1 - 10 of 11
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A step-size follow-the-leader optimization algorithm with an improved step parameters
Singh, Priyanka; Kottath, Rahul - In: Decision analytics journal 9 (2023), pp. 1-16
Follow the leader (FTL) algorithm is a newly developed optimization algorithm inspired by a sheep's movement within a flock. FTL has been successfully implemented to solve power prediction problems. However, the probability of falling in local optima is high due to randomness in the step...
Persistent link: https://www.econbiz.de/10014533154
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Evolutionary algorithms for a simheuristic optimization of the product-service system design
Meeß, Henri; Herzog, Michael; Alp, Enes; … - In: Journal of Intelligent Manufacturing 35 (2023) 7, pp. 3235-3257
Offering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their competitiveness. Designing PSS business models, however, remains a major challenge. One reason for this is the fact that PSS business models are...
Persistent link: https://www.econbiz.de/10015271507
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A comparative analysis of global optimization algorithms for surface electromyographic signal onset detection
Alam, Shafiq; Zhao, Xin; Niazi, Imran Khan; Ayub, … - In: Decision analytics journal 8 (2023), pp. 1-18
Surface Electromyography (sEMG) is a technique for measuring muscle activity by recording electrical signals from the surface of the body. It is widely used in fields such as medical diagnosis, human-computer interaction, and sports injury rehabilitation. The detection of the onset and offset of...
Persistent link: https://www.econbiz.de/10014517280
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Evolutionary algorithms for a simheuristic optimization of the product-service system design
Meeß, Henri; Herzog, Michael; Alp, Enes; … - In: Journal of Intelligent Manufacturing 35 (2023) 7, pp. 3235-3257
Offering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their competitiveness. Designing PSS business models, however, remains a major challenge. One reason for this is the fact that PSS business models are...
Persistent link: https://www.econbiz.de/10015402131
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The competition among supply chains regarding environmental, social, and resilience aspects in a supply chain network design problem
Mollashahi, Hossein; Fakhrzad, Mohammad Bagher; Nasab, … - 2025
Persistent link: https://www.econbiz.de/10015372509
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How recycled grade is economical? : an application of MILP and evolutionary algorithms in intermodal networks under uncertain demand
Shoukat, Rizwan - In: Networks and spatial economics : a journal of … 24 (2024) 1, pp. 231-260
Persistent link: https://www.econbiz.de/10014515559
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Computational intelligence based optimization of hierarchical virtual power plants
Rädle, Stefan; Mast, Johannes; Gerlach, Joachim; … - In: Energy Systems 12 (2020) 2, pp. 517-544
Persistent link: https://www.econbiz.de/10014503904
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Novel quota and tax regime design approach for green transition : a case study on Switzerland's aviation industry
Keshavarzzadeh, Amir H.; Thut, Caspar; Andersen, Daniel; … - In: Energy policy 171 (2022), pp. 1-16
Persistent link: https://www.econbiz.de/10014250036
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A Review of Methodological Approaches for the Design and Optimization of Wind Farms
Herbert-Acero, José F.; Probst, Oliver; Réthoré, … - In: Energies 7 (2014) 11, pp. 6930-7016
This article presents a review of the state of the art of the Wind Farm Design and Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning actions needed to extremize the performance of wind farms, which may be composed of a few individual Wind Turbines (WTs) up to...
Persistent link: https://www.econbiz.de/10011031127
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A Metaheuristic Optimization Algorithm Inspired by the Effect of Sunlight on the Leaf Germination
Hosseini, Farzaneh; Kaedi, Marjan - In: International Journal of Applied Metaheuristic … 9 (2018) 1, pp. 40-48
This paper develops a nature-inspired metaheuristic algorithm named sun and leaf optimization (SLO) which is inspired by the effect of sunlight on the leaves germination. In SLO, candidate solutions in the state space are considered as leaves grown on a tree, and high-quality solutions are...
Persistent link: https://www.econbiz.de/10012042960
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