Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4628756 | Applied Mathematics and Computation | 2013 | 7 Pages |
Abstract
We present an efficient genetic algorithm as a general tool for solving optimum problems. As a specialized application this algorithm can be used to approximate a solution of a system of nonlinear equations on n-dimensional Euclidean space setting. The new idea involves the introduction of some pairs of symmetric and harmonious individuals for the generation of a genetic algorithm. The population diversity is maintained better this way. The elitist model is used to ensure the convergence. Simulation results show that the new method is indeed very effective.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Hongmin Ren, Long Wu, Weihong Bi, Ioannis K. Argyros,