caa a22 4500 463243765 CHVBK 20180405153319.0 cr unu---uuuuu 170326e20071001xx s 000 0 eng 10.1007/s00158-006-0079-x doi (NATIONALLICENCE)springer-10.1007/s00158-006-0079-x Hybrid multi-objective shape design optimization using Taguchi's method and genetic algorithm [Elektronische Daten] [Ali Yıldız, Nursel Öztürk, Necmettin Kaya, Ferruh Öztürk] This research is based on a new hybrid approach, which deals with the improvement of shape optimization process. The objective is to contribute to the development of more efficient shape optimization approaches in an integrated optimal topology and shape optimization area with the help of genetic algorithms and robustness issues. An improved genetic algorithm is introduced to solve multi-objective shape design optimization problems. The specific issue of this research is to overcome the limitations caused by larger population of solutions in the pure multi-objective genetic algorithm. The combination of genetic algorithm with robust parameter design through a smaller population of individuals results in a solution that leads to better parameter values for design optimization problems. The effectiveness of the proposed hybrid approach is illustrated and evaluated with test problems taken from literature. It is also shown that the proposed approach can be used as first stage in other multi-objective genetic algorithms to enhance the performance of genetic algorithms. Finally, the shape optimization of a vehicle component is presented to illustrate how the present approach can be applied for solving multi-objective shape design optimization problems. Springer-Verlag Berlin Heidelberg, 2006 Shape optimization nationallicence Taguchi's method nationallicence Genetic algorithms nationallicence Multi-objective optimization nationallicence Yıldız Ali Mechanical Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut Öztürk Nursel Industrial Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut Kaya Necmettin Mechanical Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut Öztürk Ferruh Mechanical Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut Structural and Multidisciplinary Optimization Springer-Verlag 34/4(2007-10-01), 317-332 1615-147X 34:4<317 2007 34 158 https://doi.org/10.1007/s00158-006-0079-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00158-006-0079-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yıldız Ali Mechanical Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut NATIONALLICENCE 700 1- Öztürk Nursel Industrial Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut NATIONALLICENCE 700 1- Kaya Necmettin Mechanical Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut NATIONALLICENCE 700 1- Öztürk Ferruh Mechanical Engineering Department, Faculty of Engineering and Architecture, Uludag University, Görükle Campus, 16059, Bursa, Turkey aut NATIONALLICENCE 773 0- Structural and Multidisciplinary Optimization Springer-Verlag 34/4(2007-10-01), 317-332 1615-147X 34:4<317 2007 34 158 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer