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 computer programs designed to mimic the role of the expert human consultant. This type of systems are capable to cope with the complex problems of the medical decision makin

Whats the independent variable in the following sentence? -1) In a drug prevention program for boys and girls, will family-participation result in effective drug use reduction?

Average age at death : A ?awed statistic summarizing expectancy of the life and other aspects of the mortality. For instance, a study comparing average age at the death for male sy

The procedure which targets to use the health and health-related data which precede diagnosis and/or confirmation to identify possible outbreaks of the disease, mobilize a rapid re

Your first task is to realize two additional data generation functions. Firstly, extend the system to generate random integral numbers based on normal distribution. You need to stu

Personal probabilities : A radically special approach for allocating probabilities to events than, for instance, the commonly used long-term relative frequency approach. In this ty

This term is sometimes used for the analysis of data from the clinical trial in which treatments A and B are to be compared under the suppositions that the patients remain on their

historigrams and histogram

The nonparametric Bayesian inference approach to using the finite mixture distributions for modelling data suspected of the containing distinct groups of observations; this approac