A collective study on popular nature inspired optimization

Somya Sneh, Srikar Kompella, S. Chethan

Research output: Contribution to journalArticlepeer-review


The two subsets of nature inspired algorithms are swarm intelligence based and Bio-inspired algorithms. Swarm intelligence based algorithms behave as a sub set for Bio-inspired algorithms. Some other sources of inspiration are Physics-based Chemistry-based algorithms. Though not all of them are particularly efficient however, some of them have become popular tools for modelling and solving real world problems. The purpose of this review is to present a brief description about the four major types of swarm intelligent based algorithms along with their applications so as to provide a comprehensive view on their functioning and performance. The algorithms covered in this study are Particle Swarm Optimisation (PSO), Ant Colony System (ACS), the Artificial Bee Colony (ABC), Cuckoo Search (CS).

Original languageEnglish
Pages (from-to)6219-6222
Number of pages4
JournalJournal of Engineering and Applied Sciences
Issue numberSpecialissue2
Publication statusPublished - 01-01-2017

All Science Journal Classification (ASJC) codes

  • General Engineering


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