Volume 2 - Issue 2, March - April 2026

Bio-inspired optimization methods have really taken off in recent years, showing up everywhere from computer science to biology and math. Lately, there’s a clear shift toward these algorithms because they handle tough optimization problems that trip up more traditional approaches. They work with both linear and nonlinear functions and tackle the kinds of challenges where old-school methods fall short. Right now, the big names in this field are Particle Swarm Optimization (PSO), Genetic Bee Colony (GBC), Fish Swarm Algorithm (FSA), Cat Swarm Optimization (CSO), and the Whale Optimization Algorithm (WOA). These five algorithms are leading the way in bio-inspired optimization.

Dr N. Kalaivani, Mr. Naveen N,"Bio-Inspired Optimization: Algorithm, Analysis and Scope of Application" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(409-414) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.