Monthly Archives: October 2012

Genetic Algorithm – A class of Evolutionary Algorithms

Originally a Genetic Algorithm (GA) was proposed for optimization of the likelihood function . Like most evolutionary algorithms, a GA is a stochastic sampling method that repeatedly refines a population or set of candidate solutions. The method is based on

Posted in Optimization Algorithms

The Gaussian Process Model

Below I will describe the essential components of the Gaussian Process (GP) Model, designed by Dr. Pritam Ranjan at Acadia University. You will quickly begin to see why efficient and robust optimization of the Model’s processes (particularly through the maximum

Posted in Financial Mathematics, Optimization Algorithms