IEEE/ACM Transactions on Networking (TON)
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This paper studies a series of reconfiguration processes corresponding to a series of traffic demand changes in a WDM (Wavelength Division Multiplexing) optical network. The proposed reconfiguration framework consists of two objective functions, a reconfiguration process, and a reconfiguration policy. The two objective functions are AHT (objective function of minimizing Average Hop distance of Traffic) and NLC (objective function of minimizing Number of Lightpath routing Changes). The reconfiguration process finds a set of non-dominated solutions using the PEAP (Pareto Evolutionary Algorithm adapting the Penalty method) that optimizes two objective functions by using the concept of Pareto optimality. The reconfiguration policy picks a solution from the set of non-dominated solutions using the MDA (Markov Decision Action). Experimental results show that our reconfiguration framework incorporating the PEAP and the MDA yields efficient performance in the entire series of reconfiguration processes.