Abstract: Large-scale optimization problem (LSOP) is an essential research topic in the field of evolutionary computation community. Many large-scale optimization algorithms often maintain a large ...

In high-intensity laser–matter interactions, including laser-induced particle acceleration, physicists generally want to work ...

Despite being one of the biggest new releases of the year so far, Monster Hunter Wilds is receiving a battering at the moment. While the content and core systems of the game are mostly well-received, ...

Capcom has canceled a lecture on the optimization of Monster Hunter Wilds at the upcoming CEDEC 2025 conference in Japan, amid concerns over harassment and threats its staff has been facing over ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

The Theoretical Advanced Study Institute in Elementary Particle Physics (TASI) recently concluded its 40th year, bringing 65 students from around the world to Boulder to delve into the “Frontiers of ...

Abstract: Multiobjective particle swarm optimization (MOPSO) has been proven effective in solving multiobjective problems (MOPs), in which the evolutionary parameters and leaders are selected randomly ...

ABSTRACT: Power system planning is one of the essential tasks in the power system operation management, which requires in-depth knowledge of the system under consideration. It can be regarded as a ...

ABSTRACT: Teaching-Learning-Based Optimization (TLBO) is recently being used as a new, reliable, accurate and robust optimization technique scheme for global optimization over continuous spaces [1].