… Evolutionary algorithm (EA) is an umbrella term … algorithms that in some sense mimic
natural evolution. Prominent representatives of such algorithms are genetic algorithms, evolution …

Three main streams of evolutionary algorithms (EAs), probabilistic optimization algorithms
based on the model of natural evolution, are compared in this article: evolution strategies (ESs…

Evolutionary algorithms (EAs) are becoming increasingly … as genetic algorithms, differential
evolution, evolution strategy, … , estimation of distribution algorithms, ant colony optimization, …

… algorithms that are the subject of comparison. Unfortunately, developing a test suite for evaluating
competing search algorithms … used to evaluate evolutionary search algorithms. Current …

… from Evolutionary Computation, … Evolutionary algorithms and its generic procedure for
implementation. It further discusses the various practical advantages using evolutionary algorithms …

… based on Darwin’s theory of evolution. They are expected to provide non-optimal but good
… implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as …

… the customization of algorithms. The DEAP (Distributed Evolutionary Algorithms in Python) …
Its aim is to provide practical tools for rapid prototyping of custom evolutionary algorithms, …

… with applications of evolutionary algorithms and associated … of evolutionary algorithms.
The book includes descriptions of many real-world problems together with their evolutionary …

… These algorithms are based on the optimization of some objective function (ie, the so-called …
guides the evolutionary search. This paper presents a survey of evolutionary algorithms de…

Evolutionary algorithms (EAs) are population-based metaheuristics, originally inspired by
aspects of natural evolution. … algorithms (GAs), Genetic Programming (GP), and Evolution …