The Pareto optimality is a widely used concept for the multicriteria decision-making problems. However, this concept has a significant drawback-the set of Pareto optimal alternatives usually is large. Correspondingly,...
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The Pareto optimality is a widely used concept for the multicriteria decision-making problems. However, this concept has a significant drawback-the set of Pareto optimal alternatives usually is large. Correspondingly, the problem of choosing a specific Pareto optimal alternative for the decision implementation is arising. This study proposes a new approach to select an "appropriate" alternative from the set of Pareto optimal alternatives. The proposed approach is based on ranking-theory methods used for ranking participants in sports tournaments. In the framework of the proposed approach, we build a special score matrix for a given multicriteria problem, which allows the use of the mentioned ranking methods and to choose the corresponding best-ranked alternative from the Pareto set as a solution of the problem. The proposed approach is particularly useful when no decision-making authority is available, or when the relative importance of various criteria has not been evaluated previously. The proposed approach is tested on an example of a materials-selection problem for a sailboat mast.
In unstructured P2P content distribution systems, the most Important algorithms to ensure optimal flow of content along multiple dynamically created distribution trees are piece selection algorithms and load balancing...
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ISBN:
(纸本)9781424429257
In unstructured P2P content distribution systems, the most Important algorithms to ensure optimal flow of content along multiple dynamically created distribution trees are piece selection algorithms and load balancing algorithms. This paper models practical load balancing algorithms and derives a number of insights.
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