A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem

According to the World Risk Report 2018, the Philippines ranked third in terms of disaster risk index. These disasters leave an area damaged and some with collapsed infrastructures. It is a dangerous place for the rescuers, and it is also a challenge for them to look for victims. The described scena...

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Main Author: Bonghanoy, Christelle
Format: text
Published: Archīum Ateneo 2021
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Online Access:https://archium.ateneo.edu/theses-dissertations/471
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.theses-dissertations-15972021-10-06T05:18:58Z A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem Bonghanoy, Christelle According to the World Risk Report 2018, the Philippines ranked third in terms of disaster risk index. These disasters leave an area damaged and some with collapsed infrastructures. It is a dangerous place for the rescuers, and it is also a challenge for them to look for victims. The described scenario is common to area coverage problems. In this study, the proponent designed and built a Behavior-based and Random Walk (BRW) method through NetLogo simulation to solve the aforementioned problem. The proposed method was compared to other strategies that solves area-coverage problems for validation purposes through the same simulation platform. To test the functionality and ability to do area-coverage tasks the methods and strategies used in this study were also tested in two types of environment: with and without obstacles. The result shows that BRW was able to do area-coverage tasks better than the existing method especially in an environment with obstacles through NetLogo Simulations. 2021-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/471 Theses and Dissertations (All) Archīum Ateneo n/a
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic n/a
spellingShingle n/a
Bonghanoy, Christelle
A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem
description According to the World Risk Report 2018, the Philippines ranked third in terms of disaster risk index. These disasters leave an area damaged and some with collapsed infrastructures. It is a dangerous place for the rescuers, and it is also a challenge for them to look for victims. The described scenario is common to area coverage problems. In this study, the proponent designed and built a Behavior-based and Random Walk (BRW) method through NetLogo simulation to solve the aforementioned problem. The proposed method was compared to other strategies that solves area-coverage problems for validation purposes through the same simulation platform. To test the functionality and ability to do area-coverage tasks the methods and strategies used in this study were also tested in two types of environment: with and without obstacles. The result shows that BRW was able to do area-coverage tasks better than the existing method especially in an environment with obstacles through NetLogo Simulations.
format text
author Bonghanoy, Christelle
author_facet Bonghanoy, Christelle
author_sort Bonghanoy, Christelle
title A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem
title_short A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem
title_full A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem
title_fullStr A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem
title_full_unstemmed A Netlogo Simulation of Behavior-Based and Random Walk (BRW) Method to Solve Area-Coverage Problem
title_sort netlogo simulation of behavior-based and random walk (brw) method to solve area-coverage problem
publisher Archīum Ateneo
publishDate 2021
url https://archium.ateneo.edu/theses-dissertations/471
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