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A Fast Genetic Algorithm-based Evacuation Plan Generator
Conference proceeding   Open access  Peer reviewed

A Fast Genetic Algorithm-based Evacuation Plan Generator

Alaa S. Al Qhtani, Alaa S. Al Shammari and Heba A. Kurdi
8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017), Vol.109, pp.994-998
Procedia Computer Science
01/01/2017
DOI: https://doi.org/10.1016/j.procs.2017.05.437

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Hardware & Architecture Computer Science, Information Systems Computer Science, Software Engineering Green & Sustainable Science & Technology Science & Technology Science & Technology - Other Topics Technology
Evacuation process is a critical problem, in which the evacuation time is an important issue. This paper presents an evacuation plan generator using the Genetic Algorithm (GA) to reduce the overall evacuation time. The proposed work guides the evacuees to suitable exit doors based on the entered facility configuration. The results obtained show that the overall evacuation time was reduced using our GA plan generator. (C) 2017 The Authors. Published by Elsevier B.V.
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https://doi.org/10.1016/j.procs.2017.05.437View
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