Here is our latest work that presents a solution on the problem of Service Chain Embedding. It is based on genetic algorithms and extends a previously published conference paper.
The interesting contribution of this paper is a modeling framework for the operation of genetic algorithms. Using this framework we prove that NP-hard problems are not computed efficiently by genetic algorithms and we define some properties for the problems that genetic algorithms compute efficiently.
Another interesting contribution of this paper is a performance optimization mechanism for genetic algorithms which is also based on genetic computing. So you use one genetic algorithm in order to optimize the performance of another.
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