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Reseach Article

Applying Tarantula Mating based Routing Strategy on Manufacturing Network

Published on September 2015 by Susmita Bandyopadhyay
International Conference on Emergent Trends in Computing and Communication
Foundation of Computer Science USA
ETCC2015 - Number 2
September 2015
Authors: Susmita Bandyopadhyay
c1f22a2a-0bbf-40c7-ba56-7d3e59b0a602

Susmita Bandyopadhyay . Applying Tarantula Mating based Routing Strategy on Manufacturing Network. International Conference on Emergent Trends in Computing and Communication. ETCC2015, 2 (September 2015), 5-10.

@article{
author = { Susmita Bandyopadhyay },
title = { Applying Tarantula Mating based Routing Strategy on Manufacturing Network },
journal = { International Conference on Emergent Trends in Computing and Communication },
issue_date = { September 2015 },
volume = { ETCC2015 },
number = { 2 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 5-10 },
numpages = 6,
url = { /proceedings/etcc2015/number2/22336-4561/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Emergent Trends in Computing and Communication
%A Susmita Bandyopadhyay
%T Applying Tarantula Mating based Routing Strategy on Manufacturing Network
%J International Conference on Emergent Trends in Computing and Communication
%@ 0975-8887
%V ETCC2015
%N 2
%P 5-10
%D 2015
%I International Journal of Computer Applications
Abstract

This paper applies a routing strategy based on Tarantula Mating Behavior as proposed by the authors, Bandyopadhyay and Bhattacharya [1], on a manufacturing network. The particular behavior which is of interest is that the female Tarantula spider sometimes eats the male Tarantula just after mating for satisfying immediate need for food or for genetic purpose. This interesting behavior has been simulated with the help of a hierarchical multi-agent based framework where the master agent at the top of the hierarchy takes the final decision with the help of PROMETHEE multi-criteria decision analysis technique, based on the data for various criteria as delivered by the worker agents at the leaf level of the hierarchy. Fuzzy orientation has been added to the measurement for one of the criteria and in the calculation of PROMETHEE decision analysis technique. The strategy has been applied successfully on a manufacturing network.

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Index Terms

Computer Science
Information Sciences

Keywords

Tarantula Mating Behavior Routing Strategy Hierarchical Multi-agent System Multi-criteria Decision Analysis Technique Manufacturing Network