A multi dynamics algorithm for global optimization

Citations of this article
Mendeley users who have this article in their library.


In this paper a new global optimization algorithm for real valued functions, MAGO, is introduced. MAGO (Multi Dynamics Algorithm for Global Optimization) has been inspired by ideas from Estimation of Distribution Algorithms, Differential Evolution Algorithms and Statistical Quality Control. MAGO makes use of three different population dynamics: a changing uniform distribution to explore the searching space, a mechanism of propagating differences related to the best individuals, and a strategy for diversity preservation. Only the population size and the number of generations must be provided by the final user. The algorithm's success in achieving global optima in the presence of multimodality has been shown through its application on a set of standard test functions. © 2010 Elsevier Ltd.




Hernández, J. A., & Ospina, J. D. (2010). A multi dynamics algorithm for global optimization. Mathematical and Computer Modelling, 52(7–8), 1271–1278. https://doi.org/10.1016/j.mcm.2010.03.024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free