Multi-objective
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Complex industrial systems often contain various uncertainties. Hence sophisticated fuzzy optimization (metaheuristics) techniques have become commonplace; and are currently indispensable for e ective design, maintenance and operations of such systems. Unfortunately, such state-of-the-art techniques suffer several drawbacks when applied to largescale problems.
18p nguathienthan9 08-12-2020 20 1 Download
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This paper is about a first optimization study of a transition scenario from the current French nuclear fleet to a Sodium Fast Reactors fleet as defined in the frame of the 2006 French Act for waste management.
11p christabelhuynh 30-05-2020 7 0 Download
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Mixed-State Models for Nonstationary Multiobject Activities
14p dauphong20 10-03-2012 37 2 Download
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: MOCDEX: Multiprocessor on Chip Multiobjective Design Space Exploration with Direct Execution
14p dauphong18 09-03-2012 51 3 Download
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Second-Order Contingent Derivative of the Perturbation Map in Multiobjective Optimization
13p sting05 09-02-2012 34 7 Download
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Customer satisfaction measurement, through MUSA model, provides the analysts with the highest and lowest performance indicators, pointing out the leverage opportunities and the weaknesses of the company. An extension of the MUSA methodology for modelling customer importance preferences for service characteristics is presented in this paper. Several approaches in the context of multiobjective linear programming are examined, which give the ability to compare derived and modelled weights of the satisfaction dimensions and to introduce the principles of Kano’s model to MUSA methodology.
18p moser 04-03-2009 231 23 Download