A tuned NSGA-II to optimize the total cost and service level for a just-in-time distribution network

Distribution network planning has attracted the attention of many studies during last decades. Just-in-time (JIT) distribution has a key role in efficient delivery of products within distribution networks. In modeling of JIT distribution networks, the most frequently applied objectives are related t...

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Veröffentlicht in:	Neural computing & applications 2017-11, Vol.28 (11), p.3413-3427
Hauptverfasser:	Memari, Ashkan, Abdul Rahim, Abd. Rahman, Hassan, Adnan, Ahmad, Robiah
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Design of experiments Distribution centers Distribution management Genetic algorithms Image Processing and Computer Vision Industrial engineering Industrial plants Logistics Manufacturing engineering Mathematical models Multiple objective analysis Networks Optimization Original Article Pareto optimum Probability and Statistics in Computer Science Reversion Sorting algorithms Taguchi methods
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