Abstract: Evolutionary multi-objective optimization (EMO) algorithms generate diverse Pareto optimal solutions to comprehensively approximate the Pareto front. However, an excessive number of diverse ...

Abstract: In this article, a novel accelerated evolution-guided Q-learning (EGQL) algorithm is introduced to address optimal control problems for unknown nonlinear systems. A novel adaptive ...

In the world of highly competitive digital platforms, the main attraction for the business is the user's attention. In some ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has ...

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...