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Applicant:
Central University of Tamil Nadu 
Author:
C.Vijayalakshmi ,S.Aicevarya Devi  
Corresponding Authors:
C.Vijayalakshmi 
DOI #:
https://doi.org/10.1016/j.procs.2020.05.027 
Title:
Bio Inspired Optimization Algorithms in Disaster  
Journal:
Procedia Computer Science-Elsevier-Science Direct 
Year:
2020 
Volume:
172 
Page:
176-180 
Keywords:
Bio inspired; Optimization; Behavior; Disaster; Ant colony algorithm; Fireflies algorithm. 
Abstract:
This paper mainly deals with Bio Inspired which means biological structures. Bio Inspired easily handle failure which determines the real-world complicated engineering issues. It continually finds the optimum resolution to unravel its drawback maintaining good balance among its parts. Widen the range and growth of Bio Inspired Algorithms analyze new fields of application. A disaster is a sudden, disastrous event that seriously disrupts the functioning of a community or society and causes human, material, and economic or environmental losses that exceed the community's or society's ability to cope using its own resources. This paper presents comparative study between ant colony optimization algorithm and fireflies algorithm to find shortest route during disaster. ACO is inspired by behavior of ants. The specialty of ACO algorithm is to find finest route with respect to each road’s length and damage degree. ACO provides reliable paths and also the decision is based on pheromone level released by ants. One of the recent developed swarm intelligence algorithm is firefly algorithm introduced by Yang. This algorithm inspired by behavior of insects. It works based on three rule: They are unisex, attractiveness and brightness. So these two algorithms helps in finding the shortest path between origin point and destination point. 
Entered by:
C.Vijaya Lakshmi on 2020-09-03 
 
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