A binary genetic algorithm using two-point crossover and inversion for mutation. The algorithm was written for optimization of the Goldstein-Price function.

A Design and Simulation for DynamicThis paper describes a design of novel processor for genetic algorithm (GA) based on redundant binary number. In conventional GA, genetic information is expressed by ...

Genetic Algorithm for Different Types of Variables This repository contains the implementation of a genetic algorithm designed to work with various types of variables, including binary variables, ...

In this paper, a customized binary-coded genetic algorithm (GA) is proposed for wind-farm layout optimization problem. A flexible grid model that encodes the layouts to the binary-coded individuals of ...

In AI Terminology 101, we're exploring Genetic Algorithms - a fascinating intersection of biology and computer science that's transforming AI's problem-solving capabilities.