Inspired by Social-Spider Behavior for Microwave Filter Optimization, Swarm Optimization Algorithm

Abstract

In this research, our researchers suggest using a contemporary swarm optimization approach for microwave filter optimization dubbed Social Spider Optimization (SSO), which is based on modeling social spiders’ cooperative actions. PSO (particle swarm optimization) and teaching-learning-based optimization (TLBO) are two evolutionary algorithms that demonstrate their efficacy and resilience compared to this optimization. The results demonstrate the effectiveness of the recommended approach.