The data transmission system in the optical WDM
network increases the speed of packet transmission by the
wavelength of light beams . The Selection of the wavelength and
the shortest path to transmit the packets form source to destination
is a challenge in a large network architecture. To solve these two
problems, the optimization model must handle both the objectives.
In this paper we are proposing a novel multi-objective
optimization algorithm to solve both the problem of wavelength
allocation and shortest path identification in a WDM network.
This can be achieved by the enhanced model of Multi-Objective
Hunger Locust Optimization algorithm (MO-HLO). In this, it
analyse traffic level in a network path and the availability of
wavelength present at each time instant. The proposed system
retrieves the parameters of network architecture and with the
weight value of dynamic traffic occur in the routing path. Among
these data, the optimization selects the best among overall feature
set of the WDM arrangement. The MO-HLO algorithm extracts
the combination of each attribute to form the cluster that
segregates the routing path along with the traffic range. From the
fitness of the objective function of MO-HLO, the best routing path
and the availability of wavelength for a node can be analysed at
each time instant.
Solving the File Allocation Problem in the Distributed Networks by Using Genetic Algorithms