The scheduling process that aims to assign tasks to members is a difficult job in project management.It plays a prerequisite role in determining the project’s quality and sometimes winning the bidding process.This st...The scheduling process that aims to assign tasks to members is a difficult job in project management.It plays a prerequisite role in determining the project’s quality and sometimes winning the bidding process.This study aims to propose an approach based on multi-objective combinatorial optimization to do this automatically.The generated schedule directs the project to be completed with the shortest critical path,at the minimum cost,while maintaining its quality.There are several real-world business constraints related to human resources,the similarity of the tasks added to the optimization model,and the literature’s traditional rules.To support the decision-maker to evaluate different decision strategies,we use compromise programming to transform multiobjective optimization(MOP)into a single-objective problem.We designed a genetic algorithm scheme to solve the transformed problem.The proposed method allows the incorporation of the model as a navigator for search agents in the optimal solution search process by transferring the objective function to the agents’fitness function.The optimizer can effectively find compromise solutions even if the user may or may not assign a priority to particular objectives.These are achieved through a combination of nonpreference and preference approaches.The experimental results show that the proposed method worked well on the tested dataset.展开更多
The accessory gearbox is a crucial component of the power transmission system of an aero-engine.The current design of the accessory gearbox case heavily relies on engineering experience,resulting in a bulky and heavy ...The accessory gearbox is a crucial component of the power transmission system of an aero-engine.The current design of the accessory gearbox case heavily relies on engineering experience,resulting in a bulky and heavy structure.This makes it increasingly challenging to meet the design requirements of high-power density.This work proposes a multi-objective topology optimization method based on the compromise programming method for the aero-engine accessory gearbox case.By locally thinning the gearbox case wall thickness,the case weight is reduced by 12.7%,and the maximum Mises stress is also reduced by 19.7%compared to the initial design scheme.Furthermore,the maximum vibration acceleration amplitude is reduced by 23.9%.These results provide a new solution for the lightweight design of the aero-engine accessory gearbox case.展开更多
文摘The scheduling process that aims to assign tasks to members is a difficult job in project management.It plays a prerequisite role in determining the project’s quality and sometimes winning the bidding process.This study aims to propose an approach based on multi-objective combinatorial optimization to do this automatically.The generated schedule directs the project to be completed with the shortest critical path,at the minimum cost,while maintaining its quality.There are several real-world business constraints related to human resources,the similarity of the tasks added to the optimization model,and the literature’s traditional rules.To support the decision-maker to evaluate different decision strategies,we use compromise programming to transform multiobjective optimization(MOP)into a single-objective problem.We designed a genetic algorithm scheme to solve the transformed problem.The proposed method allows the incorporation of the model as a navigator for search agents in the optimal solution search process by transferring the objective function to the agents’fitness function.The optimizer can effectively find compromise solutions even if the user may or may not assign a priority to particular objectives.These are achieved through a combination of nonpreference and preference approaches.The experimental results show that the proposed method worked well on the tested dataset.
基金supported by the Chongqing Outstanding Young Scientist Fund(Grant No.CSTB2023NSCQJQX0016)the National Natural Science Foundation of China(Grant No.52322504)。
文摘The accessory gearbox is a crucial component of the power transmission system of an aero-engine.The current design of the accessory gearbox case heavily relies on engineering experience,resulting in a bulky and heavy structure.This makes it increasingly challenging to meet the design requirements of high-power density.This work proposes a multi-objective topology optimization method based on the compromise programming method for the aero-engine accessory gearbox case.By locally thinning the gearbox case wall thickness,the case weight is reduced by 12.7%,and the maximum Mises stress is also reduced by 19.7%compared to the initial design scheme.Furthermore,the maximum vibration acceleration amplitude is reduced by 23.9%.These results provide a new solution for the lightweight design of the aero-engine accessory gearbox case.
