Abstract: This paper proposes an improvement of firefly algorithm for optimization problems. In this study, the rao algorithm was applied in crossover and mutation operators instead of procedures of ...

Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...

In the rapidly evolving landscape of modern manufacturing, where traditional paper-based operations struggle to compete with digital-first enterprises, one transformational leader emerged to bridge ...

Abstract: The feature selection is a pre-processing concept for big data and it is a complex to solve. The aim of feature selection is to remove irrelevant and redundant attributes of a specific ...