Once we’ve selected individuals for survival/reproduction, how do we create the next generation?

A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and biological processes of reproduc-tion of the fittest individual. GA is one of the most popular optimization …

In this paper, the author has explored the GAs, its role in engineer-ing pedagogies, and the emerging areas where it is using, and its implementation. Keywords— Genetic Algorithm, Search Techniques, …

Genetic Algorithms are search and optimization techniques based on Darwin’s Principle of Natural Selection

Introduction to Genetic Algorithms Mechanisms of evolutionary change: Natural selection: the fittest survive in a competitive environment resulting in better organisms individuals with better survival …

Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover (also called recombination).

There are a wide range of other genetic operators and choosing the appropriate ones is important since they can affect convergence significantly. It is important to pick a good termination method. It is …