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Genetic Algorithm

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Publisher: ADEWUNMI

Authors: Adewunmi ET AL

Publish Year: 2014

Pages: 22

ISBN10: 978-2902-58-6

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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 agents 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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