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Management consultant scheduling problem in management consulting service enterprise is a NP-hard problem. This paper studies the problem of management consultants scheduling problems with time window. We formulate the problem where the primary objective is to minimize the makespan. This paper proposes a hybrid genetic algorithms (HGA) based on taboo search to solve the problem. It adopts a novel...
Active disturbance rejection control (ADRC) method is applied in the control of main steam temperature system. To facilitate the selection of ADRC parameters, an optimizing objective function is proposed, which is associated with both the dynamic and static performances and energy requirements. By the proposed optimizing objective function, genetic algorithm is applied to optimize the ADRC parameters,...
Knowledge worker scheduling problem in knowledge enterprise has been known as a NP-hard problem. The knowledge worker scheduling problem allows one task to be implemented on by several knowledge workers of a team. The problem is to assign each task to a knowledge worker and find a sequence for the tasks on the knowledge worker in order that the satisfaction of all customers is maximized. This paper...
As a kind of CAN-based application layers, the CANopen protocol has been widely adopted for distributed control system. While the introduction of network gives the system some advantages, the jitter problem of system variables is induced and degrades the performance of systems. The optimal algorithm can be used to reduce the jitter of system variables. According to the CANopen transmission features,...
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