MODULAR HYBRID MEMETIC ALGORITHM FOR FINDING A CONDTIONAL GLOBAL EXTREMUM FOR FUNCTIONS OF SEVERAL VARIABLES

MODULAR HYBRID MEMETIC ALGORITHM FOR FINDING A CONDTIONAL GLOBAL EXTREMUM FOR FUNCTIONS OF SEVERAL VARIABLES

This paper presents a hybrid memetic algorithm for finding a conditional global extremum of functions. The algorithm combines such characteristics as modularity and adaptability which provides flexibility and controllability of the algorithm and reduces the influence of parameters. On the basis of t...

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Bibliographic Details
Main Authors: A. V. Panteleev, V. A. Pismennaya
Format: Article
Language:Russian
Published: Moscow State Technical University of Civil Aviation 2016-12-01
Series:Naučnyj Vestnik MGTU GA
Subjects:
memetic algorithm
conditional global extremum
meme
hybrid algorithm
modular algorithm
harmony search
differential evolution
flower pollination algorithm
Online Access:https://avia.mstuca.ru/jour/article/view/853
Description
Summary:This paper presents a hybrid memetic algorithm for finding a conditional global extremum of functions. The algorithm combines such characteristics as modularity and adaptability which provides flexibility and controllability of the algorithm and reduces the influence of parameters. On the basis of the proposed algorithm the software complex is formed in the C# language. The method effectiveness is demonstrated on several well-known model examples of finding a conditional global extremum for functions of several variables.
ISSN:2079-0619
2542-0119

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