A Study on Varıous Bıo-Inspıred Algorıthms for Intellıgent Computatıonal System

M. S. Mrutyunjaya (), R. Arulmurugan () and H. Anandakumar
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M. S. Mrutyunjaya: Presidency University, Department of Computer Science and Engineering
R. Arulmurugan: Presidency University, Department of Computer Science and Engineering
H. Anandakumar: Sri Eshwar College of Engineering, Department of Computer Science and Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1533-1540 from Springer

Abstract: Abstract Biology is truly an area of unlimited possibilities for designing artificial intelligence systems that are capable of performing efficiently and independently in unfamiliar and dynamic ecology. It is challenging to refuse the enchantment of designing artifacts and showcase lifelike intelligence thus needing methods for prediction, design, optimization, control, security etc. and these needs can be addressed by using the Computational Algorithms that are motivated by biological mechanisms which are widely known as biological inspired algorithms. In this survey paper we have discussed working of some of such algorithms like Ant colony, Bee colony, Bat colony, Cuckoo and Firefly algorithms by using which many current world problem scan be addressed, adopted, designed, implemented and optimized.

Keywords: Biological; Swarm; Optimization; Pheromone; Echolocation (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_157

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DOI: 10.1007/978-3-030-41862-5_157

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