Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

Abstract: With the rapid development of smart grid infrastructure, the proliferation of networked and intelligent devices in power systems has introduced significant cybersecurity challenges.

Algorithm design is more than theory—it's the art of crafting efficient, reliable solutions to real-world problems. From divide-and-conquer strategies to AI-assisted coding, modern approaches blend ...

Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...