Optimization of Trusses With Self-Adaptive Approach In Genetic Algorithms | Zendy

Krzysztof Grygierek | Zendy

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Optimization of Trusses With Self-Adaptive Approach In Genetic Algorithms

Author(s) -

Krzysztof Grygierek

Publication year - 2016

Publication title -

architecture civil engineering environment

Language(s) - English

Resource type - Journals

eISSN - 2720-6947

pISSN - 1899-0142

DOI - 10.21307/acee-2016-053

Subject(s) - truss , genetic algorithm , meta optimization , algorithm , selection (genetic algorithm) , mathematical optimization , computer science , set (abstract data type) , fuzzy logic , mathematics , engineering , artificial intelligence , structural engineering , programming language

Ab s t r a c t This paper presents a genetic algorithm method for the optimization of the weight of steel truss structures. In the method of genetic algorithm integer encoding of a discrete set of design variables and novel self-adaptive method based on fuzzy logic mechanism are applied for improving the quality and speed of optimization. Self-adaptive method is applied simultaneously in the selection of chromosomes and to control basic parameters of genetic algorithm. The algorithm proposed in the work was tested on the examples of optimization of steel trusses. Obtained results proved the effectiveness of genetic algorithm in relation to classical genetic algorithm.

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