Multiobjective EAs (MOEAs) are developed to tackle these tasks and their results are compared to previous approaches using single objective EAs. The effect of ...
Multiobjective EAs (MOEAs) are developed to tackle these tasks and their results are compared to previous approaches using single objective EAs. The effect of ...
The results show that the MOEAs provide more flexible solutions for network management, but are in some cases unable to reach the level of quality obtained by ...
We present an application of multiple-objectives evolutionary optimisation to the problem of engineering the distribution of the interdomain traffic in the ...
Bibliographic details on Multiobjective Evolutionary Algorithms for intradomain routing optimization.
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Traffic Engineering (TE) approaches are increasingly important in network management to allow an optimized configuration and resource allocation.
We present a new approach to Interactive Evolutionary Multiobjective Optimization (IEMO) guided by a preference elicitation procedure inspired by artificial ...
The OSPFWS problem is NP-hard and, thus, meta-heuristics such as Evolutionary Algorithms (EAs) have been used in previous work to obtain near optimal solutions.
This paper reviews optimization techniques that have been deployed for managing intra-domain routing in networks operated with shortest path routing ...
Mar 16, 2011 · A multiobjective optimization problem involves several conflicting objectives and has a set of Pareto optimal solutions.