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A SWARM Based Approach in Saving Flood Survivors

Dilip Roy Chowdhury1 , Subhajit Bose2

Section:Research Paper, Product Type: Conference Paper
Volume-03 , Issue-01 , Page no. 36-42, Feb-2015

Online published on Feb 18, 2015

Copyright © Dilip Roy Chowdhury , Subhajit Bose . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Dilip Roy Chowdhury , Subhajit Bose, “A SWARM Based Approach in Saving Flood Survivors,” International Journal of Computer Sciences and Engineering, Vol.03, Issue.01, pp.36-42, 2015.

MLA Style Citation: Dilip Roy Chowdhury , Subhajit Bose "A SWARM Based Approach in Saving Flood Survivors." International Journal of Computer Sciences and Engineering 03.01 (2015): 36-42.

APA Style Citation: Dilip Roy Chowdhury , Subhajit Bose, (2015). A SWARM Based Approach in Saving Flood Survivors. International Journal of Computer Sciences and Engineering, 03(01), 36-42.

BibTex Style Citation:
@article{Chowdhury_2015,
author = {Dilip Roy Chowdhury , Subhajit Bose},
title = {A SWARM Based Approach in Saving Flood Survivors},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2015},
volume = {03},
Issue = {01},
month = {2},
year = {2015},
issn = {2347-2693},
pages = {36-42},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=6},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=6
TI - A SWARM Based Approach in Saving Flood Survivors
T2 - International Journal of Computer Sciences and Engineering
AU - Dilip Roy Chowdhury , Subhajit Bose
PY - 2015
DA - 2015/02/18
PB - IJCSE, Indore, INDIA
SP - 36-42
IS - 01
VL - 03
SN - 2347-2693
ER -

           

Abstract

Swarm intelligence (SI) is a branch of artificial intelligence that has evolved based on the collective behavior of social insect colonies and other animal societies that have decentralized mode of work control. It is the collective behaviour (intelligence) exhibited by many individual elements for carrying out a common work that coordinate among them using a decentralized control and self-organization both in natural and artificial system. This paper proposes an optimized algorithm based on swarm intelligence algorithms to save people who are stuck in flood in the minimum time when the number of motorized inflatable rescue boats available is comparatively less to the number of people stuck in flood.

Key-Words / Index Term

Artificial Intelligence; Ant Colony Optimization (ACO); Boids; Foraging; Motorized Inflatable Rescue Boats; Swarm Intelligence; Stigmery; Component; Formatting; Style; Styling; Insert

References

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