Abstract: In combinatorial optimization problems, traditional optimization algorithms are often difficult to efficiently find the global optimal solution. This paper studies the application of genetic ...

This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are stochastic in ...

Matthew is a journalist in the news department at Game Rant. He holds a Bachelor's degree in journalism from Kent State University and has been an avid gamer since 1985. Matthew formerly served as a ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

Abstract: Evolutionary Algorithms (EAs) are the solution approaches for solving optimization problems using the classical generate-and-test method. These algorithms are widely used by the ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...