Pareto-optimal pointsThis paper deals with the design of radar receive filters jointly optimized with respect to sidelobe energy and sidelobe peaks via Pareto-optimal theory. We prove that this criterion is tantamount to jointly minimizing two quadratic forms, so that the design can be analytically...
Here, our holistic evaluation of the Pareto-optimal points reveals the presence of non-trivial trade-offs that are imposed by the control, physical, and detailed cyber parameters. For instance, the identified energy and control optimal design points comprise configurations with a wide range of CPU...
This work presents a new algorithm that generates Pareto-optimal points for multicriteria optimization problems. This method is based on the use of a ... VlENNET, R.,FONTEIX, C.,MARC, I. - 《International Journal of Systems Science》 被引量: 209发表: 1996年 Efficient deterministic multiple...
This paper points to some of the differences between FTAs and customs unions, and shows that on welfare grounds a customs union is always Pareto-superior... AO Krueger - 《Journal of Development Economics》 被引量: 394发表: 1997年 Cost-effectiveness of family planning and maternal and child ...
The Lagrangian relaxation removes the non-linear constraint by optimizing a proxy to the original function, known as the DIB Lagrangian, but comes at the cost of being unable to access points off the convex hull of the trade-off. We note that while we use the terminology ‘primal DIB’ to...
Proposition 4(iii) characterizes the n extremal points of the convex hull. All other Pareto optimal allocations are a convex combinations of the n extremal points. Proposition 4(iv) indicates that for \(w_t \ne w^{\text {FB}}_t\), \(w_{it}^{\mathrm{SB}} \rightarrow w_{it}^{...
Normal boundary intersection: A new method for generating Pareto optimal points in multicriteria optimization problems CiteSeerX - Scientific documents that cite the following paper: Normal boundary intersection: A new method for generating Pareto optimal points in multicri......
In principle, all the points on the Pareto frontier are potential candidates to represent the best model selected with respect to the combination of two, or more, metrics. To our knowledge, there are no well-recognized strategies to decide which point should be selected on the frontier. In ...
We have introduced the notion of a feasible solution in the multicriteria optimization problem. The algorithm discussed in Section 1–3 allows simple and efficient identification and selection of feasible points from the design-variable space. However, the question arises: How can one use the algori...
The proposed method of Pareto front generation generates a Pareto-optimal front constituted of both line segments and points. Further, we employ a simple local search method to generate sequences of jobs and their respective trade-off curves, which are trimmed and merged to generate the Pareto-...