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 ...

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, ...

The implementations in this repository are based on the following references: Mirjalili, Seyedali, and Seyedali Mirjalili. "Genetic algorithm." Evolutionary algorithms and neural networks: Theory and ...

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 ...

Due to low accuracy of genetic algorithm and slow speed of ant algorithm for solving the problem, a hybrid algorithm based on genetic algorithm and ant algorithm is promoted and its MATLAB ...

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 ...