The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...

MoneySimpler announces the launch of its AI-powered quantitative trading platform, designed to simplify automated ...

Post-quantum cryptography migration just got its first enforceable federal deadline. EO 14409 requires U.S. agencies to ...