Explain Genetic algorithms, Advanced Statistics

Genetic algorithms: The optimization events motivated by the biological analogies. The prime idea is to try to mimic the 'survival of the fittest' rule of the genetic mutation in the development of the optimization algorithms. The procedure starts with a population of the potential solutions to a problem and a method of measuring the fitness or the value of each solution. A new generation of the solutions is then produced by permitting existing solutions to 'mutate' (change a bit) or cross over (two solutions combine to obtain a new solution with both the aspects). The target is to produce new generations of solutions that have higher values.

Posted Date: 7/28/2012 3:59:31 AM | Location : United States







Related Discussions:- Explain Genetic algorithms, Assignment Help, Ask Question on Explain Genetic algorithms, Get Answer, Expert's Help, Explain Genetic algorithms Discussions

Write discussion on Explain Genetic algorithms
Your posts are moderated
Related Questions
The alternative process to make use of the chi-squared statistic for assessing the independence of the two variables forming a two-by-two contingency table particularly when expect

Cauchy integral : The integral of the function, f (x), from a to b are de?ned in terms of the sum   In the statistics this leads to the below shown inequality for the expecte

Multiple imputation : The Monte Carlo technique in which missing values in the data set are replaced by m> 1 simulated versions, where m is usually small (say 3-10). Each of simula

Chains of infection : The description of the course of infection among the group of individuals. The susceptibles infected by the direct contact with the introductory cases are sai

5. Packages from a machine a normally distributed with a mean 200g and its standard deviation 2grams. Find the probability that a package from the machine weighs a) Less than

A comprehensive regression analysis of the case study London has been carried out to test the 4 assumptions of regression: 1. Variables are normally distributed 2. Linear rel

Correlation matrix : A square, symmetric matrix with the rows and columns corresponding to the variables, in which the non diagonal elements are correlations between the pairs of t

Attack rate : This term frequently used for the incidence of the disease or condition in the particular group, or during a limited interval of time, or under the special circumstan

Assume that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 20 to be 115 or more?

Non linear mapping (NLM ) is a technique for obtaining a low-dimensional representation of the set of multivariate data, which operates by minimizing a function of the differences