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A review on evolutionary multiobjective optimization for routing problem of computer networks

机译:计算机网络路由问题的进化多目标优化研究述评

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Evolutionary Algorithms are the stochastic optimization methods, simulating the behavior of natural evolution. These algorithms are basically population based search procedures efficiently dealing with complex search spaces having robust and powerful search mechanism. EAs are highly applicable in multiobjective optimization problem which are having conflicting objectives. Resource optimization in computer network is an important research problem and it can be easily handled by the use of multiobjective optimization approach. This paper reviews the work carried out for optimization in network routing.
机译:进化算法是模拟自然进化行为的随机优化方法。这些算法基本上是基于种群的搜索过程,可以有效地处理具有健壮和强大搜索机制的复杂搜索空间。 EA非常适用于目标冲突的多目标优化问题。计算机网络中的资源优化是一个重要的研究问题,可以通过使用多目标优化方法轻松地进行处理。本文回顾了为优化网络路由所做的工作。

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