Advanced Genetic Algorithms for Engineering Design Problems

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Title:Advanced Genetic Algorithms for Engineering Design Problems
Creators:
Roupec, Jan
Journal or Publication Title:
Engineering Mechanics, 17, 5-6, pp. 407-417
Uncontrolled Keywords:genetic algorithm, stochastic heuristic optimisation methods, evolutionary computing, genetic operators

Abstract

The study of analogy of the natural evolution and the technical object design dates back more than 50 years. The genetic algorithm (GA) is considered to be a stochastic heuristic (or meta-heuristic) optimisation method. The best use of GA can be found in solving multidimensional optimisation problems, for which analytical solutions are unknown (or extremely complex) and efficient numerical methods are also not known. GAs are inspired by adaptive and evolutionary mechanisms of live organisms, but they do not copy the natural process precisely. The paper describes the main terms, principles and original implementation details of GA. The main goal of this paper is to help readers to use proper GAs on the field of technical objects design.

Official URL: http://www.im.fme.vutbr.cz/pdf/17_5_407.pdf

Title:Advanced Genetic Algorithms for Engineering Design Problems
Translated title:Advanced Genetic Algorithms for Engineering Design Problems
Creators:
Roupec, Jan
Uncontrolled Keywords:genetic algorithm, stochastic heuristic optimisation methods, evolutionary computing, genetic operators
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Mathematics, Physics and Earth Sciences > Institute of Thermomechanics > Engineering Mechanics
Journal or Publication Title:Engineering Mechanics
Volume:17
Number:5-6
Page Range:pp. 407-417
ISSN:1802-1484
Publisher:Association for Engineering Mechanics
Related URLs:
URLURL Type
http://avi.lib.cas.cz/node/51Publisher
ID Code:6544
Item Type:Article
Deposited On:21 Apr 2011 14:43
Last Modified:21 Apr 2011 13:17

Citation

Roupec, Jan (2010) Advanced Genetic Algorithms for Engineering Design Problems. Engineering Mechanics, 17 (5-6). pp. 407-417. ISSN 1802-1484

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