Genetic Algorithms Training Course

Description

• Type

  Course

• Methodology

  Online

Description

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.

About this course

Requirements

Basic understanding of search problems and optimization

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Subjects

• Algorithms

Course programme

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

Additional information

28 hours (usually 4 days including breaks)

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