Algorithmic Solutions for Several Offline Constrained Resource Processing and Data Transfer Multicriteria Optimization Problems

TL;DR

This paper introduces specialized algorithms for offline resource processing and data transfer multicriteria optimization problems, producing strategies that are nearly optimal and adaptable for agent implementation.

Contribution

It presents novel, problem-specific algorithmic strategies that achieve high efficiency and near-optimal solutions for complex resource and data transfer optimization tasks.

Findings

Strategies solve problems almost optimally

Algorithms are tailored to specific problem properties

Results demonstrate high efficiency and effectiveness

Abstract

In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented techniques are strategies which solve the considered problems (almost) optimally. Thus, the developed algorithms construct intelligent strategies which can be implemented by agents in specific situations. All the described solutions make use of the properties of the considered problems and, thus, they are not applicable to a very general class of problems. However, by considering the specific details of each problem, we were able to obtain very efficient results.