A Review on Different Optimization Techniques for Selecting Optimal Parameters in Microstrip Bandpass Filter Design

Abstract

There has been growing attention recently among organic process improvement algorithms such as Ant Colony improvement (ACO), biogeography primarily based Optimization (BBO), Differential Evolution (DE), Population-Based progressive Learning (PBIL) and Stud Genetic Algorithm (SGA) to some new techniques, here, taking into consideration completely different newly developed biological process improvement algorithms, the design of a microwave microstrip passband filter is mentioned in order to match their performance on a composite index EM improvement problem. Certain techniques (DE, BBO, SGA) are effectively cope up with this kind of complicated EM problem as shown by the results.