Overview

This book introduces a new solution by integrating Cultural Evolution into the Bat Algorithm (BA). By mimicking how bats share ""situational"" and ""normative"" knowledge within a colony, these new algorithmic variants (CABATs) solve the imbalance between exploration and exploitation.Through rigorous testing against standard benchmarks and complex shading simulations, this research demonstrates how CABAT algorithms achieve over 99% efficiency by outperforming traditional methods like P&O and Particle Swarm Optimization. This is an essential guide for engineers, researchers, and energy innovators looking to master the next generation of intelligent MPPT control.

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