SOMA Algorithm Research Articles

On SOMA Parallelization with Android Devices

Today's world is full of new, small, personal handhelds. They are called smartphones or tablets. The machines themselves always have less power than desktop computers or even mainframes which were left behind. Their computational power can be increased when they are joined together in a group and are addressing one common task. To check and demonstrate the possibility of the use of mobile devices being joined to a group, the SOMA algorithm was chosen. The well as known functions, for example; De Jong, Rosenbrock, Rastrigin or Schwefel will be used and their extremes (minimums) will be realized. The goal is to test the speed of these mobile devices to realize the extremes of more dimensional functions. The advantages and disadvantages of this swarm linking will be shown. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Investigation on evolutionary predictive control of chemical reactor

This paper discusses predictive control of chemical reactor by means of evolutionary algorithm named SOMA – the Self-Organizing Migrating Algorithm, that can be classified as swarm intelligence or memetic algorithm. The SOMA algorithm was used for multiple input–multiple output control of reactor model after static optimization. The MIMO control was defined for 5 inputs and 2 outputs with total number of 12 unknown variables. This paper is based on simulation results from optimization of static parameters that has been used to set up reactor for its evolutionary control.