Aiming at the optimization design of steel cutting, which needs to meet different types of orders and quantity requirements, in order to minimize the number of raw materials used, maximize order fulfillment, reduce the number of tool changes and small machines cutting times, the cutting optimization problem is transformed into the optimal design of the scheme when the raw materials are cut sequentially. First of all, this paper sorts the raw material area and order area, at the same time, the matching dictionary set with the largest rate is established. Secondly, the same type of order is arranged as much as possible, thus reducing the number of knife changes and small machines cutting numbers. Then, the multi-objective optimization model is established. In the simulation stage, through the design of feasible algorithms and programming to achieve an optimal solution, finally, get a good cutting plan, it provides a useful reference for practical application.
This paper investigates the problem of trajectory generation in a multi-station passive time-difference localization system in which an unmanned aerial vehicle (UAV) equipped with a passive payload replaces a secondary radar station in the localization task. Based on this, a method is given for segmenting the optimal deployment trajectory so that the deployment trajectory can be executed by the UAV according to the speed and load-on cruise time constraints of the UAV. Simulation and analysis of the model and method are carried out, the results meet the expected results, and these methods are reasonable and effective.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.