Research Area:  Metaheuristic Computing
Bio-Inspired optimization algorithms are inspired from principles of natural biological evolution and distributed collective of a living organism such as (insects, animal, …. etc.) for obtaining the optimal possible solutions for hard and complex optimization problems. In computer science Bio-Inspired optimization algorithms have been broadly used because of their exhibits extremely diverse, robust, dynamic, complex and fascinating phenomenon as compared to other existing classical techniques. This paper presents an overview study on the taxonomy of bio-inspired optimization algorithms according to the biological field that are inspired from and the areas where these algorithms have been successfully applied
Keywords:  
Bio-Inspired Algorithms (BIA)
Ecology-Based Algorithms (ECO)
Swarm Intelligence (SI)
Elephant Herding Optimization (EHO)
Evolu-tionary Algorithms (EA).
Author(s) Name:  Saman M. Almufti , Ridwan Boya Marqas , Vaman Ashqi Saeed
Journal name:  Journal of Advanced Computer Science & Technology
Conferrence name:  
Publisher name:  science Publishing Corporation
DOI:  10.14419/jacst.v8i2.29402
Volume Information:  
Paper Link:   https://www.sciencepubco.com/index.php/JACST/article/view/29402