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Agent-based model of maritime search operations: a validation using test-driven simulation modeling

Agent-based model of maritime search operations: a validation using test-driven simulation modeling
Agent-based model of maritime search operations: a validation using test-driven simulation modeling
Maritime search operations (and search operations in general) are one of the classic applications of Operational Research (OR). This paper presents a generic agent-based model for maritime search operations which can be used to analyse operations such as search and rescue and patrol. Agent-based simulation (ABS) is a relatively new addition to existing OR techniques. The key elements of an ABS model are agents, their behaviours and their interactions with other agents and the environment. A search operation involves at least two types of agent: a searcher and a target. The unique characteristic of ABS is that we model agents’ behaviours and their interactions at the individual level. Hence, ABS offers an alternative modelling approach to analyse search operations. The second objective of our work is to show how test-driven simulation modelling (TDSM) can be used to validate the agent-based maritime search-operation model.
digital simulation, marine engineering, military computing, operations research, software agents, agent-based model, maritime search operations, test-driven simulation modelling, operational research, agent-based simulation, OR techniques, ABS model, agent behaviour modeling, TDSM, Libraries
254-265
Institute of Electrical and Electronics Engineers Inc.
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Karatas, Mumtaz
93a4833f-3dd8-4539-acac-807f065d1a50
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Karatas, Mumtaz
93a4833f-3dd8-4539-acac-807f065d1a50

Onggo, Bhakti Stephan and Karatas, Mumtaz (2016) Agent-based model of maritime search operations: a validation using test-driven simulation modeling. In 2015 Winter Simulation Conference (WSC). Institute of Electrical and Electronics Engineers Inc. pp. 254-265 . (doi:10.1109/WSC.2015.7408169).

Record type: Conference or Workshop Item (Paper)

Abstract

Maritime search operations (and search operations in general) are one of the classic applications of Operational Research (OR). This paper presents a generic agent-based model for maritime search operations which can be used to analyse operations such as search and rescue and patrol. Agent-based simulation (ABS) is a relatively new addition to existing OR techniques. The key elements of an ABS model are agents, their behaviours and their interactions with other agents and the environment. A search operation involves at least two types of agent: a searcher and a target. The unique characteristic of ABS is that we model agents’ behaviours and their interactions at the individual level. Hence, ABS offers an alternative modelling approach to analyse search operations. The second objective of our work is to show how test-driven simulation modelling (TDSM) can be used to validate the agent-based maritime search-operation model.

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More information

Published date: 16 February 2016
Additional Information: ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: digital simulation, marine engineering, military computing, operations research, software agents, agent-based model, maritime search operations, test-driven simulation modelling, operational research, agent-based simulation, OR techniques, ABS model, agent behaviour modeling, TDSM, Libraries

Identifiers

Local EPrints ID: 425180
URI: https://eprints.soton.ac.uk/id/eprint/425180
PURE UUID: e2504c21-1879-494c-8a0a-14e30a6ed5f9
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 11 Oct 2018 16:30
Last modified: 10 Dec 2019 01:22

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