Abstract
There are many applications of Genetic Algorithm (GA) and Harmony Search (HS) Method for solving problems in civil engineering design. The question is, still, which method is better for geometry optimization of a steel structure. The purpose of this paper is to compare GA and HS performance for geometric optimization of a steel structure. This problem is solved by optimizing a steel structure using GA and HS and then comparing the structure’s weight as well as the time required for the calculation. In this study, GA produced a structural weight of 2308.00 kg to 2387.00 kg and HS scored 2193.12 kg to 2239.48 kg. The average computational time required by GA is 607 seconds and HS needed 278 seconds. It concludes that HS is faster and better than GA for geometry optimization of a steel structure.
Highlights
The Genetic Algorithm (GA) method has been the designer’s tool of many steel structures [1,2]
Harmony Search (HS) came with a robust performance for determining the size optimization of steel structures [46], [8,9]. Both strategies are powerful for solving size optimization problems with minimization objective function due to several engineering constraints
With advantages of both methods, it is important to compare the performance between GA and HS especially for solving geometry optimization of a steel structure
Summary
The Genetic Algorithm (GA) method has been the designer’s tool of many steel structures [1,2]. GA was developed and combined with chromosome repairing strategy on solving size optimization of steel structures [7]. Harmony Search (HS) came with a robust performance for determining the size optimization of steel structures [46], [8,9]. Both strategies are powerful for solving size optimization problems with minimization objective function due to several engineering constraints. With advantages of both methods, it is important to compare the performance between GA and HS especially for solving geometry optimization of a steel structure
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