Evolutionary Algorithms


Resource | v1 | created by jjones |
Type Course
Created unavailable
Identifier NAIL025

Description

Models of evolution, genetic algorithms, representation and operators of selection, mutation and crossover. Problem solving by means of evolutionary computation. Theoretical properties of simple genetic algorithm. Schemata theorem and building block hypothesis, probabilistic models. Evolutionary machine learning, Michigan vs. Pittsburg approach, classifier systems.

Relations

about Evolutionary algorithm

In computational intelligence (CI), an evolutionary algorithm (EA) is a subset of evolutionary comput...

published by Charles University

Charles University, known also as Charles University in Prague (Czech: Univerzita Karlova (UK); Latin...


Edit details Edit relations Attach new author Attach new topic Attach new resource
4.5 /10
useless alright awesome
from 2 reviews
Write comment Rate resource Tip: Rating is anonymous unless you also write a comment.
Resource level 2.0 /10
beginner intermediate advanced
Resource clarity 5.0 /10
hardly clear sometimes unclear perfectly clear
Reviewer's background 3.0 /10
none basics intermediate advanced expert
Comments 0
Currently, there aren't any comments.