Genetic Algorithms Training Course

Primary tabs

Duration Duration

28 hours (usually 4 days including breaks)

Requirements Requirements

Basic understanding of search problems and optimization

Overview Overview

This four day course is aimed at teaching how genetic algorithms work; it also covers how to select model parameters of a genetic algorithm; there are many applications for genetic algorithms in this course and optimization problems are tackled with the genetic algorithms.

Course Outline Course Outline

Day 1:

  • What is a genetic algorithm?
  • Chromosome fitness
  • Choosing the random initial population
  • The crossover operations
  • A numeric optimzation example

Day 2

  • When to use genetic algorithm
  • Coding the gene
  • Local maximums and mutation operation
  • Population diversity

Day 3

  • The meaning and effect of each genetic algorithm parameter
  • Varying genetic parameters
  • Optimizing scheduling problems
  • Cross over and mutation for scheduling problems

Day 4

  • Optimizing program or set of rules
  • Cross over and mutation operations for optimizing programs
  • Creating a parallel model of the genetic algorithm
  • Evaluating the genetic algorithm
  • Applications of genetic algorithm

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
From $10590
Request
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Remote
1 $10590 $5990
2 $5970 $3620
3 $4430 $2830
4 $3660 $2435
Cannot find a suitable date? Choose Your Course Date >>
Too expensive? Suggest your price

Related Categories

Related Courses


Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients