A Review on Evolutionary Multiobjective Optimization for Routing Problem of Computer Networks
Amandeep Kaur, Praveen Kumar Shukla · 2013
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.