This is a MATLAB based object oriented and parallel capable implementation of a genetic algorithm to search for discrete solutions composed of a fixed number of elements drawn from a finite number of ...

Performing probabilistic transition operation (s) called evolutionary operations. This project explores the power of Genetic Algorithms to optimize multivariate functions using the popular MATLAB ...

Urban traffic network can be considered as an undirected graph. So the route choice problem in the traffic network can be converted to shortest path problem. The idea of using genetic algorithm to ...

Abstract: Two kinds of parallel genetic algorithm (PGA) are implemented in this paper based on the MATLAB ® Parallel Computing Toolbox™ and Distributed Computing Server™ software. Parallel for-loops, ...

Back Propagation is a common method of training artificial neural networks so as to minimize objective function. This paper describes the implementation of back propagation algorithm.