Performance Analysis of Estimation of Distribution Algorithm and Genetic Algorithm in Zone Routing Protocol

09/22/2010
by   Mst. Farhana Rahman, et al.
0

In this paper, Estimation of Distribution Algorithm (EDA) is used for Zone Routing Protocol (ZRP) in Mobile Ad-hoc Network (MANET) instead of Genetic Algorithm (GA). It is an evolutionary approach, and used when the network size grows and the search space increases. When the destination is outside the zone, EDA is applied to find the route with minimum cost and time. The implementation of proposed method is compared with Genetic ZRP, i.e., GZRP and the result demonstrates better performance for the proposed method. Since the method provides a set of paths to the destination, it results in load balance to the network. As both EDA and GA use random search method to reach the optimal point, the searching cost reduced significantly, especially when the number of data is large.

READ FULL TEXT
07/20/2014

A Comparative Analysis for Determining the Optimal Path using PSO and GA

Significant research has been carried out recently to find the optimal p...
05/14/2023

Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size

Nonlinear model predictive control (NMPC) solves a multivariate optimiza...
05/28/2022

Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly

A physically-motivated genetic algorithm (GA) and full enumeration for a...
09/09/2022

Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach

Mobile parcel lockers (MPLs) have been recently proposed by logistics op...
06/05/2022

GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm

Binary neural networks (BNNs) show promising utilization in cost and pow...

Please sign up or login with your details

Forgot password? Click here to reset