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, ...

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 MATLAB project implements a hybrid optimization algorithm that combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The algorithm is designed to optimize a set of parameters ...

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 ...

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

Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...