Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 6 No 4: November 2017

Optimasi Routing pada Metropolitan Mesh Network Menggunakan Adaptive Mutation Genetic Algorithm

Merinda Lestandy (Universitas Brawijaya)
Sholeh Hadi Pramono (Universitas Brawijaya)
Muhammad Aswin (Universitas Brawijaya)

Article Info

Publish Date
29 Nov 2017

Abstract

In dynamic and wide networks, such as Metropolitan Mesh Network (MMN), routing becomes very complex because a packet can be blocked before it reaches its destination. In addition, users can also log in or log out from network topology. Therefore, a good routing algorithm, which is able to reduce time in network update process or when there is an error in the network, are required. Routing problems can be represented as the shortest path problem to facilitate completion. In this paper, a routing algorithm optimization using Adaptive Mutation Genetic Algorithm (AMGA) on MMN is presented by determining a probability of 0.000005782 at the beginning, with crossover probability of 0.000847, to reduce or avoid premature convergence.

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Journal Info
Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Website

Abbrev

JNTETI

Publisher

Universitas Gadjah Mada

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...