Adopting one-hot encoding! Optimization is performed on non-binary variables.
In this tutorial, we will perform the optimization of an airfoil using FMQA with Amplify, within a limited number of evaluations. The goal of the optimization process is to maximize the ratio of lift (FL) to drag (FD) acting on the wing installed in the flow field (lift-to-drag ratio). Additionally, the sample program will employ one-hot encoding, and we will also introduce the implementation of the necessary encoder and decoder. [Contents] ■ Definition of the airfoil and fluid simulation ■ Program implementation of FMQA (integer input values) ■ Exploration of optimal airfoils using FMQA *For more details, please refer to the related links or feel free to contact us.
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With over 700 companies and organizations utilizing it, and more than 50 million cumulative executions, our optimization computing cloud service powered by cutting-edge quantum technology and other advanced computing methods supports the optimization and automation of our customers' operations. The optimization computing cloud service "Fixstars Amplify" is used in on-site management planning tasks such as production planning, shift scheduling, vehicle dispatch planning, and delivery planning. It can also be utilized for optimizing shelf layouts in automated warehouses and for automatic control of AGVs as a digital twin. In research and development, its use is expanding in areas such as materials informatics and optimization of design parameters. With the world's best service for solving social issues, the highest precision and efficiency, and the most user-friendly optimization computing cloud service, along with comprehensive support from excellent optimization consultants, we provide total support for the optimization of various operations in the manufacturing industry. 【Usage Applications】 Production planning, shift planning, equipment investment optimization, optimal routing for AGVs, shelf layout optimization in automated warehouses, vehicle dispatch planning, delivery planning, design parameter optimization, materials informatics, etc.
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