Adaptive gbest-guided gravitational search algorithm

A gbest-guided gravitational search algorithm

Adaptive Gbest-guided Gravitational Search Algorithm (GGSA) saves and utilizes the best solution obtained so far (gbest) as an accelerator towards the optimum during optimization.
Please note that this submission is the same as the original GSA algorithm (http://www.mathworks.com.au/matlabcentral/fileexchange/27756-gravitational-search-algorithm--gsa-), yet the only different component is the Move2.m, GGSA.m, and main.m files.
For more information please refer to the following papers:

1) S. Mirjalili, A. Lewis, Adaptive gbest-guided gravitational search algorithm, Neural Computing and Applications, in press, 2014, DOI: http://dx.doi.org/10.1007/s00521-014-1640-y

2) S. Mirjalili, G-G. Wang, L. S. Coelho, Binary optimization using hybrid particle swarm optimization and gravitational search algorithm, Neural Computing and Applications, in press, 2014, DOI: http://dx.doi.org/10.1007/s00521-014-1629-6

I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:

*******************************************************************************************************************************************
A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF

A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
*******************************************************************************************************************************************