Multi-memetic Mind Evolutionary Computation Algorithm for Loosely Coupled Systems of Desktop Computers
Maxim Sakharov, Карпенко, Velisevich · Science and Education of the Bauman MSTU · 2015
This paper deals with the development and software implementation of the hybrid multi-memetic algorithm for distributed computing systems. The main algorithm is based on the modification of MEC algorithm proposed by the authors. The multi-memetic algorithm utilizes three various local optimization methods. Software implementation was developed using MPI for Python and tested on a grid network made of twenty desktop computers. Performance of the proposed algorithm and its software implementation was investigated using multi-dimensional multi-modal benchmark functions from CEC’14.