<< previous  answermath HOME  answermath en Español  Loan Calculator  Find any Print, Poster  next >>  
Artificial Intelligence Tutorials: Data Mining ▫ Neural Networks ▫ Fuzzy Logic ▫ Genetic Algorithms  Tutoriales de Inteligencia artificial: Redes Neuronales ▫ Lógica Fuzzy ▫ Minería Datos ▫ Algoritmos Genéticos  
Mental math Tips: Addition ▫ Subtraction ▫ Multiplication ▫ Division ▫ Sine ▫ Cosine ▫ Tangent  Tips cálculo mental: Suma ▫ Resta ▫ Multiplicación ▫ División ▫ Seno ▫ Coseno ▫ Tangente  
Basic Concepts
The GA’s Chromosome The abstract representation of a solution may be a sequence of bits, bytes, letters or numbers. In each case the solution is composed by several elements (Genes) that may be changed from one solution to another. 

In the
classic optimization problem of the traveler salesman (given the distances
between the cities, find the less expensive sequence to visit all of them),
a solution will be a particular sequence of the cities to be visited. In this case a mutation will be the interchange of the places occupied by two cities in the trip. A crossover will be a combination from two previous routes (parent solutions). There are many ways in which the crossover may be implemented. How to assemble a new solution, in order for it to partially reflect the behavior of each parent, depends on the problem itself.  






 Home  Suggest a link  Send Comments  Disclaimer  PrivacyPolicy  Links  Help 
Copyright 2000  wgonz @ email.com  All Rights Reserved