دورية أكاديمية
The Quasi-Normal Direction (QND) Method: An Efficient Method for Finding the Pareto Frontier in Multi-Objective Optimization Problems.
العنوان: | The Quasi-Normal Direction (QND) Method: An Efficient Method for Finding the Pareto Frontier in Multi-Objective Optimization Problems. |
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المؤلفون: | Kanafi, Armin Ghane |
المصدر: | Iranian Journal of Management Studies; Summer2019, Vol. 12 Issue 3, p379-404, 26p |
مصطلحات موضوعية: | GEOGRAPHIC boundaries, POINT set theory, CONES, GENERALIZATION, MEDICAL care |
مستخلص: | In managerial and economic applications, there appear problems in which the goal is to simultaneously optimize several criteria functions (CFs). However, since the CFs are in conflict with each other in such cases, there is not a feasible point available at which all CFs could be optimized simultaneously. Thus, in such cases, a set of points, referred to as 'nondominate' points (NDPs), will be encountered that are ineffective in relation to each other. In order to find such NDPs, many methods including the scalarization techniques have been proposed, each with their advantages and disadvantages. A comprehensive approach with scalarization perspective is the PS method of Pascoletti and Serafini. The PS method uses the two parameters of a ε Rp p ≼ 2 as the starting point and, r ε Rp, r = O |
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قاعدة البيانات: | Complementary Index |
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