Title: A brief study about nature inspired optimisation algorithms

Authors: S. Thanga Revathi; N. Ramaraj

Addresses: Misrimal Navajee Munoth Jain Engineering College, Chennai, India ' Vignan University, Guntur, India

Abstract: Nature inspires human beings to a greater extent as the mother nature has guided us to solve many complex problems around us. Algorithms are developed by analysing the behaviour of the nature and from the working of groups of social agents like ants, bees, and insects. An algorithm developed based on this is called 'nature inspired algorithms'. These nature-inspired algorithms can be based on swarm intelligence, biological systems, physical and chemical systems. A few algorithms are effective and have proved to be very efficient and thus have become popular tools for solving real-world problems. Swarm intelligence is one of the most important algorithms developed from the inspiration of group of habitats. The purpose of this paper is to present a list of comprehensive collective algorithms that invoke the research scope in that area.

Keywords: nature-inspired; swarm intelligence; genetic; particle swarm optimisation; PSO; ant colony optimisation; ACO; Ant; artificial bee colony; ABC; cuckoo; optimisation; evolutionary strategies.

DOI: 10.1504/IJAIP.2024.139952

International Journal of Advanced Intelligence Paradigms, 2024 Vol.28 No.1/2, pp.1 - 15

Received: 31 Mar 2018
Accepted: 02 Jun 2018
Published online: 15 Jul 2024 *

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