DeepAI AI Chat
Log In Sign Up

Evolutionary algorithms

by   Anton V. Eremeev, et al.

This manuscript contains an outline of lectures course "Evolutionary Algorithms" read by the author in Omsk State University n.a. F.M.Dostoevsky. The course covers Canonic Genetic Algorithm and various other genetic algorithms as well as evolutioanry algorithms in general. Some facts, such as the Rotation Property of crossover, the Schemata Theorem, GA performance as a local search and "almost surely" convergence of evolutionary algorithms are given with complete proofs. The text is in Russian.


page 1

page 2

page 3

page 4


Convergence Properties of Two (μ + λ) Evolutionary Algorithms On OneMax and Royal Roads Test Functions

We present a number of bounds on convergence time for two elitist popula...

Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms

Decentralized PID controllers have been designed in this paper for simul...

A Hybrid Evolutionary Approach to Solve University Course Allocation Problem

This paper discusses various types of constraints, difficulties and solu...

A philosophical essay on life and its connections with genetic algorithms

This paper makes a number of connections between life and various facets...