Achievements of Generations Inheritance and Optimization in Reactive Power and Voltage Control

This paper introduces a novel evolutionary optimization algorithm, AGIO (Achievements of Generations Inheritance and Optimization), inspired by the way human family trees evolve through inherited and improved achievements. AGIO simulates multiple family lineages, each producing one offspring per generation, with individuals aiming to enhance the accomplishments of their predecessors. Each individual's capability—shaped by creativity, character traits, environmental factors, and inherited performance—determines the quality of the solution. The method is well suited for complex engineering problems, where decision variables are treated as individual capabilities and objectives reflect accumulated achievements. AGIO is applied to reactive power and voltage control in the IEEE 30-bus test system. Its performance is evaluated against Particle Swarm Optimization (PSO) and the Grey Wolf Optimizer (GWO), demonstrating more consistent convergence and improved optimization results.