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Programming for personnel quota is an important part of Human Resource Management of Enterprise. The configuration of various categories of personnel will have a direct impact on the reasonableness of economic efficiency of enterprises. Generally Programming for Personnel quota was more considered from the point of labor quota. It can basically meet the requirements of the job quantity, but it often...
This paper provides a method for rail traffic passenger flow assignment and simulation evaluation, focusing on passenger flow and transportation resource assignment and selection in the optimization process of line planning. Distributed artificial intelligence is introduced to research the decision of passenger flow assignment methods based on distributed autonomous decision-making of high-speed rail...
Planning and Scheduling is a decision-making process of allocating limited resources to tasks over time with the goal of optimizing a certain objective. Most of them do not have a polynomial time algorithm and are NP-hard problems. The requirements from a real world application might be that several goals need to be achieved simultaneously, which makes problems even much harder to solve. This paper...
This paper proposes a novel approach in tackling the resource brokering problem in heterogeneous distributed computing systems. To obtain the best utilization of the systems, researchers are often focusing on improving scheduling algorithms and strategies with the knowledge of tasks and resources at the scheduling time. Unlike these approaches, we apply an intelligence decision making mechanism to...
With the reformation of China's electric power and power coal system, several difficulties emerge in planning annual coal purchase and allocation schedule, e.g., with multiple sources, multiple destinations, different shipping vessels. So it is important to research on the transportation and storage problems for regional power coal allocation planning of China. In this study, these concerns are formulated...
This paper describes a parallel, multistage optimization approach for enterprise system design and planning where the design of a system is linked with its planing and operations (resource allocation). Our approach is composed of two parts: a multistage formulation and a task-parallel algorithm. The formulation utilizes the quasi-separability of the multistage decision making structure, i.e., allowing...
The most often used operator to aggregate criteria in decision making problems is the classical weighted sum model or weighted sum model. However, in many problems, the criteria considered interact and a substitute to the weighted sum model has to be adopted. Multi-criteria decision making (MCDM) problems involve the ranking of a finite set of alternatives in terms of a finite number of decision criteria...
Water resources allocation relates to many decision factors, such as society, economy, environment and resource utilization, which is a complicated and uncertain decision-making process. Usually, the problem of conflict and competition among the different targets and water users should be solved. Taking Dalian's water resources allocation as an example, this paper develops a multi-objectives evaluation...
Storage planning for outbound container is one of the most important operations in container terminals. It influences almost all successive operations, including storage position allocation for individual container, equipment scheduling, stowage planning and container relocation, etc. This paper studies storage space pre-allocation for outbound containers of arriving ships. Considering the complexity...
QoS requirements of Grid users for Grid service resources always include multiple fuzzy attributes. And there is contradictory between these QoS parameters. A multi-attributes decision making method based on information entropy is utilized to weigh the importance degree of QoS parameters and solve the contradictory. In addition, evaluation factor set is classified according to the type of QoS parameters,...
Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some of these situations the computations operate under strict deadlines, after which point the results may have very little value. In these cases of urgent computing, it is imperative that these computations begin execution as quickly...
This contribution presents the system concept approach introduced by the IEEE 1900.4 Working Group (WG) and discusses inherent advantages and issues. This effort targets reconfigurable (Software Defined Radio (SDR) based) networks and terminals in a heterogeneous wireless environment, with multi-homing capable terminals which enables them to operate several wireless links simultaneously. In order...
A large scale public health emergency such as an epidemic (occurring naturally or due to a bioterrorism attack) can result in an overwhelming number of human casualties. This can result in scarcity of healthcare resources such as beds, staffing, supplies and equipment. Regional aid in the form of central stockpiles and resource redistribution can help mitigate the resulting demand surge. However,...
In this paper, a new methodology is presented for topology optimization of networked embedded systems as they occur in automotive and avionic systems and partially in wireless sensor networks. By introducing a model which is (1.) suitable for heterogeneous networks with different communication bandwidths, (2.) modeling of routing restrictions and (3.) flexible binding of tasks onto processors, current...
This panel position paper addresses issues and challenges of resource management (facilitating adaptive and automatic information fusion) and identifies the necessary interaction with levels 2 and 3 components of "information fusion". Starting with the definitions of fusion levels, implicit and explicit interactions among the levels are examined from several perspectives: identifying commensurate...
In this paper we study the optimality of an index policy for a bandwidth allocation problem, where a single server is allocated among N queues in a slotted system based on the queue backlog information. Due to the physical nature of the system this information is delayed, in that when the allocation decision is made, the server only has the backlog information from an earlier time. This results in...
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