Genetic Algorithm (GA) is a population-based optimization algorithm inspired by the process of natural selection and evolution. In GA, a population of candidate solutions, represented as chromosomes, ...

MATLAB-based optimization framework for nanophotonic structures using multi-objective genetic algorithms integrated with Lumerical FDTD. Automatically tunes geometry to minimize propagation loss and ...

This paper introduces the theory of genetic algorithm. The specific operation flow of genetic algorithm is described. The application of genetic algorithm in function optimization has been achieved by ...

In the electric power system, voltage profile improvement is needed to reduce power losses that often occur. Tools that are widely used to improve this voltage profile include SVC (static var ...

An optimization algorithm that is based on the mechanism of biological evolution is known as a genetic algorithm. This algorithm is typically broken down into several steps, including the generation ...

Abstract To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization ...