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Shcherbakova

A global optimization hybrid algorithm based on the algorithm of artificial immune system and swarm of particles
Engineering Education # 03, March 2014
DOI: 10.7463/0314.0700457
The paper proposes an AIS_PSO algorithm (Artificial Immune System_ Particle Swarm Optimization), which represents a modification of the hybrid algorithm based on the CLONALG immune algorithm and the algorithm of the particles of swarm (PSO). The modification is to replace the CLONALG algorithm with the same, but the modified algorithm. The AIS_PSO algorithm has been realized by MatLab software package. An efficiency of developed algorithm and software has been examined using Rosenbrock's, Himmelblau’s, and Rastrigin’s test functions. The AIS_PSO software allows a problem solution for the optimal control of vibration robot movement. The paper applies a known method to solve the problem of the optimal control of dynamic system based on reduction of this task to a task of nonlinear programming of high dimension. The study results have shown that a developed algorithm and software are high efficient.
 
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