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Published in:
2018 | OriginalPaper | Chapter
Modifications of Bidirectional Evolutionary Structural Optimization for Structure Compliance
Author : Vu Truong Vu
Published in: Advances in Structural and Multidisciplinary Optimization
Publisher: Springer International Publishing
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Abstract
The paper mainly presents a modification of evolutionary rate in bidirectional evolutionary structural optimization (BESO) for structural compliance minimization. In the approach, a self-adapting evolutionary rate based on variation of the structure compliances is proposed. It means the volume change in each iteration will be adjusted to balance its effect on the objective function. Additionally, golden section search is used in averaging the sensitivity of compliance instead of bi-section search in the referred BESO (Huang and Xie, 2010). Furthermore, initial evolutionary rate, filter radius and penalty exponent in material model are tuned to get the appropriate values. The proposed simple technique improves results of benchmark problems in the literature.