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نتیجه جستجو - Interactive evolutionary multi-objective

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ردیف عنوان نوع
1 Evaluation of multi-objective optimization approaches for solving green supply chain design problems
ارزیابی روشهای بهینه سازی چند منظوره برای حل مشکلات طراحی زنجیره تامین سبز-2017
This paper evaluates the applicability of different multi-objective optimization methods for envir onmentally conscious supply chain design. We analyze a case study with three objectives: costs, CO2 and fine dust (also known as PM – Particulate Matters) emissions. We approximate the Pareto front using the weighted sum and epsilon constraint scalarization methods with pre-defined or adaptively selected parameters, two popular evolutionary algorithms, SPEA2 and NSGA-II, with different selection strategies, and their interactive counterparts that incorporate Decision Makers (DMs) indirect preferences into the search process. Within this case study, the CO2 emissions could be lowered significantly by accepting a marginal increase of costs over their global minimum. NSGA-II and SPEA2 enabled faster estimation of the Pareto front, but produced significantly worse solutions than the exact optimization methods. The interactive methods outperformed their a posteriori counterparts, and could discover solutions corre sponding better to the DM preferences. In addition, by adjusting appropriately the elicitation interval and starting generation of the elicitation, the number of pairwise comparisons needed by the interactive evolutionary methods to construct a satisfactory solution could be decreased.
Keywords: Supply chain management | Green logistics | Multi-objective programming | Indirect preference information| Evolutionary algorithms |Interactive evolutionary multi-objective | optimization
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بازدید امروز: 8086 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 8086 :::::::: افراد آنلاین: 72