Engineering Applications of Swarm Intelligence
Abhishek Sharma, Abhinav Sharma, Jitendra Kumar Pandey, Mangey Ram · Swarm Intelligence · 2021
Optimization problems in the field of engineering are complex and have too many constraints. Swarm intelligence algorithms have attracted researchers to solve engineering optimization problems. In this chapter, author presents applications of swarm intelligence algorithms in the field of electrical, electronics, and robotics engineering. Solar photovoltaic (PV) array parameter extraction is a highly nonlinear and complex optimization problem in the area of renewable energy. This chapter investigates grey wolf optimization (GWO) algorithm to estimate the optimal value of a PV cell’s unknown parameters. Mobile robots’ path planning is a globally studied problem in the field of robotics engineering. This chapter demonstrates the effectiveness of firefly algorithm in robot path-planning problem. In wireless communication, adaptive array signal processing plays a critical role in 5G communication. Direction of arrival (DOA) estimation and adaptive beamforming are two major components of adaptive array signal processing. This chapter presents the application of moth flame optimization (MFO) for estimating the direction of narrow-spaced signals.