The parallel realization of genetic algorithm on the base of network operator method for the task of two-tier inverted pendulum stabilisation Problem

B B Kulakov; Кулаков Борис Борисович; A S Zharkova; Жаркова Анастасия Сергеевна; K E Kazaryan; Казарян Давид Эдуардович

The parallel realization of genetic algorithm on the base of network operator method for the task of two-tier inverted pendulum stabilisation Problem

Authors: Kulakov BB¹, Zharkova AS¹, Kazaryan KE¹
Affiliations:
1. Peoples' Friendship University of Russia
Issue: No 4 (2010)
Pages: 26-36
Section: Articles
URL: https://journals.rcsi.science/2312-8143/article/view/335808
ID: 335808

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Abstract

It is considered a problem of two-tired inverted pendulum stabilization. Pareto-region for two functional is found by using network operator and parallel realization of genetic algorithm. Every point of that region gives a solution - state vector feedback control function. It is presented simulation results for one point of Pareto-region.

Keywords

parallel genetic algorithm, multiobjective optimization, network operator

About the authors

B B Kulakov

Peoples' Friendship University of Russia

Email: boriskulakov@gmail.com
Кафедра кибернетики и мехатроники; Российский университет дружбы народов; Peoples' Friendship University of Russia

A S Zharkova

Peoples' Friendship University of Russia

Email: ktk_rudn@mail.ru
Кафедра кибернетики и мехатроники; Российский университет дружбы народов; Peoples' Friendship University of Russia

K E Kazaryan

Peoples' Friendship University of Russia

Email: davidkazaryan@gmail.ru
Кафедра кибернетики и мехатроники; Российский университет дружбы народов; Peoples' Friendship University of Russia

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