alexa Genetic Algorithm: A Veritable Tool for Solving Agricul
ISSN: 2168-9881

Agrotechnology
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Research Article

Genetic Algorithm: A Veritable Tool for Solving Agricultural Extension Agents Travelling Problem

Adewumi IO*, Oluwatoyinbo FI, Omoyajowo AO, Ajisegiri GO and Akinsete AE
Department of Agricultural Engineering, Federal College of Agriculture, P.M.B. 5029, Moor Plantation, Ibadan, Oyo State Nigeria
Corresponding Author : Adewumi IO
Department of Agricultural Engineering
Federal College of Agriculture, P.M.B. 5029
Moor Plantation, Ibadan, Oyo State Nigeria
Tel: +2348023821869, +2347034205740
E-mail: adexio2010@gmail.com, adexio@yahoo.com
Received August 28, 2015; Accepted September 25, 2015; Published September 30, 2015
Citation: Adewumi IO, Oluwatoyinbo FI, Omoyajowo AO, Ajisegiri GO, Akinsete AE (2015) Genetic Algorithm: A Veritable Tool for Solving Agricultural Extension Agents Travelling Problem. Agrotechnol 5:138. doi:10.4172/2168-9881.1000138
Copyright: © 2015 Adewumi IO, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Genetic algorithm simulates the logic of Darwinian selection as observed in the biological evolutionary process (Cells’ division, DNA, Mutation, etc.) to solve problems. They are based on one hand on a heuristic gradient ascension method (selection and crossover) and in another hand on a semi-random exploration method (Mutation). In this research work, application of genetic algorithms was explored for the optimization problem embodied in the transit problem of agricultural extension agents or workers in disseminating new innovation and technological advancement in agriculture. An order representation for the cost matrix for 10 cities and chromosomes was used. The result revealed that genetic algorithm can solve the routing problem of an agricultural extension agent in terms of time minimization in order to search for the shortest route, which will increase number of places that the extension agents can touch at reduced cost of transportation. This will help in achieving the nations’ vision 2020 on food security.

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