3D topology optimization using an immune algorithm
スポンサーリンク
概要
- 論文の詳細を見る
Purpose: The paper introduces an evolutionary algorithm based on the artificial immune systems paradigm for topology optimization (TO) in 3D. Design/methodology/approach: The 3D TO algorithm is described, and experimentally validated on an electromagnetic design problem. Findings: The proposed method is capable of finding an optimal configuration for the validation problem used. Research limitations/implications: More tests are needed in order to fully assert the capabilities of the algorithm. Moreover, further improvements are needed in order to obtain smoother topologies at the end of the optimization procedure. Practical implications: The paper presents a novel tool for the design of electromagnetic devices, using a TO approach. Originality/value: So far most of the TO algorithms did not tackle true 3D problems, and the ones capable of 3D optimization do it at high computational costs. The algorithm presented here is capable of true 3D design at a reasonable computational budget.
- Emerald Group Publishing Limitedの論文
著者
関連論文
- Evolutional Design of Small Antennas for Passive UHF-Band RFID
- Optimization of Meander Line Antenna Considering Coupling Between Nonlinear Circuit and Electromagnetic Waves for UHF-Band RFID
- Optimization of Inductors Using Evolutionary Algorithms and Its Experimental Validation
- 3D topology optimization using an immune algorithm
- A reduced model for finite element analysis of steel laminations
- High Performance Iterative Solver for Linear System using Multi GPU