215 Development of Hybrid Optimization Method on the Multi-objective Optimum Design : A Hybrid SA/GA Method with variable mesh size

2011 ◽  
Vol 2011 (0) ◽  
pp. _215-1_-_215-9_
Author(s):  
Kenji ABE ◽  
Yuichiro SAKAMOTO ◽  
Yasuhiro BONKOBARA ◽  
Takahiro KONDOU ◽  
Tomoyuki TANIGUCHI
Keyword(s):  
Optimum Design ◽  
Mesh Size ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Multi Objective ◽  
Hybrid Optimization Method ◽  
Variable Mesh

218 SA/GA Hybrid Optimization Method Using a Procedure of Mesh Size Change : Improvement of Convergence and Diversity of Solution

2012 ◽  
Vol 2012 (0) ◽  
pp. _218-1_-_218-11_
Author(s):  
Tomoyuki TANIGUCHI ◽  
Yasuhiro BONKOBARA ◽  
Takahiro KONDOU ◽  
Yuichirou SAKAMOTO ◽  
Kenji ABE
Keyword(s):  
Mesh Size ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Size Change ◽  
Hybrid Optimization Method

scholarly journals SA/GA Hybrid Optimization Method Using a Procedure of Mesh Size Change

2011 ◽  
Vol 77 (784) ◽  
pp. 4367-4381
Author(s):  
Yuichiro SAKAMOTO ◽  
Yasuhiro BONKOBARA ◽  
Takahiro KONDOU ◽  
Kenji ABE ◽  
Tomoyuki TANIGUCHI
Keyword(s):  
Mesh Size ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Size Change ◽  
Hybrid Optimization Method

Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Woo-Kyun Jung ◽  
Young-Chul Park ◽  
Jae-Won Lee ◽  
Eun Suk Suh
Keyword(s):  
Expert Knowledge ◽  
Structural Characteristics ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Optimization Process ◽  
Production Lines ◽  
Distribution Method ◽  
Workload Analysis ◽  
Hybrid Optimization Method ◽  
Simulation Based

AbstractImplementing digital transformation in the garment industry is very difficult, owing to its labor-intensive structural characteristics. Further, the productivity of a garment production system is considerably influenced by a combination of processes and operators. This study proposes a simulation-based hybrid optimization method to maximize the productivity of a garment production line. The simulation reflects the actual site characteristics, i.e., process and operator level indices, and the optimization process reflects constraints based on expert knowledge. The optimization process derives an optimal operator sequence through a genetic algorithm (GA) and sequentially removes bottlenecks through workload analysis based on the results. The proposed simulation optimization (SO) method improved productivity by ∼67.4%, which is 52.3% higher than that obtained by the existing meta-heuristic algorithm. The correlation between workload and production was verified by analyzing the workload change trends. This study holds significance because it presents a new simulation-based optimization model that further applies the workload distribution method by eliminating bottlenecks and digitizing garment production lines.

A hybrid optimization method of evolutionary and gradient search

2007 ◽  
Vol 39 (1) ◽  
pp. 87-104 ◽  
Author(s):  
Min-Jea Tahk ◽  
Hyun-Wook Woo ◽  
Moon-Su Park
Keyword(s):  
Optimization Method ◽  
Hybrid Optimization ◽  
Gradient Search ◽  
Hybrid Optimization Method

A hybrid optimization method for biplanar transverse gradient coil design

2007 ◽  
Vol 40 (9) ◽  
pp. 2988-2993 ◽  
Author(s):  
Qi Feng ◽  
Tang Xin ◽  
Jin Zhe ◽  
Jiang Zhongde ◽  
Shen Yifei ◽  
...  
Keyword(s):  
Optimization Method ◽  
Hybrid Optimization ◽  
Gradient Coil ◽  
Coil Design ◽  
Hybrid Optimization Method ◽  
Transverse Gradient ◽  
Gradient Coil Design
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