Inspired by Social-Spider Behavior for Microwave Filter Optimization, Swarm Optimization Algorithm
R. Karthick, M. Prabha, S.Rathana Sabapathy, Divya Jiju, R. Senthamil Selvan
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.
Topics & Concepts
Multi-swarm optimizationParticle swarm optimizationComputer scienceOptimization algorithmMetaheuristicFilter (signal processing)Mathematical optimizationSwarm behaviourOptimization problemSwarm intelligenceMeta-optimizationAlgorithmArtificial intelligenceMathematicsComputer visionMetaheuristic Optimization Algorithms ResearchMicrowave Engineering and WaveguidesPhotonic and Optical Devices