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Research on a Mission—oriented Resource Allocation Approach under Uncertain Efficiency

 CHEN   Wen, LUO  Yu-Mei, ZHOU  Shao-Jing   

  1. (Faculty of Computer and Information, Kunming Metallurgy College, Kunming 650033, China)
  • Received:2014-05-22 Online:2014-10-31 Published:2014-10-31

Abstract: According to the performance uncertainty of task—oriented resource allocation problem, a solving
frame work is proposed based on multi–dimensional dynamic programming. Deep analysis of the characteristics of the problem, a model is created in the resource constraints, time constraints, and strategies constraints on the problem. It is decomposed into three sub–problems organically on the basis of this model, namely determining the sequence of tasks, assigning resources to tasks and taking up time optimization. Respectively, it applies prior analysis, multidimensional dynamic programming,heuristic optimization method to solve the above three sub–problems. Finally, an example was illustrated to show the feasibility and practicability of the proposed model and framework. The experimental results show that this framework can effectively solve the problem of uncertain effectiveness of resource allocation task–oriented.

Key words: task–oriented, resource allocation problem, multi–dimensional dynamic programming

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