Meta-Heuristics Optimization Algorithms for Solving Antenna Synthesis Problem

Abstract

This paper aims to develop meta-heuristics optimization algorithms for solving real-world engineering problems. One of the real-world engineering problem that we are going to solve is the antenna synthesis problem. The antenna synthesis problem involves designing an antenna that meets specific performance criteria. Meta-heuristics optimization algorithms are a group of algorithms particularly suited for solving optimization problems, such as the antenna synthesis problem. One that type of algorithm is the particle swarm optimization (PSO) algorithm, which is more efficient in optimizing various antennas, including linear, planar, and conformal antennas. In summary, meta-heuristics optimization algorithms, such as the PSO algorithm, provide an effective means for solving the antenna synthesis problem by searching the solution space for optimal solutions. These algorithms can be applied to various antennas and can optimize parameters, such as geometry and material properties, to achieve specific performance criteria.