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Multi-objective Q-bit Coding Genetic Algorithm for Hardware-Software Co-synthesis of Embedded Systems

  • Wei Wen-long
  • Li Bin
  • Zou Yi
  • Zhuang Zhen-quan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)

Abstract

One of the key tasks in Hardware-Software Co-design is to optimally allocate, assign, and schedule resources to achieve a good balance among performance, cost, power consumption, etc. So it’s a typical multi-objective optimization problem. In this paper, a Multi-objective Q-bit coding genetic algorithm (MoQGA) is proposed to solve HW-SW co-synthesis problem in HW-SW co-design of embedded systems. The algorithm utilizes the Q-bit probability representation to model the promising area of solution space, uses multiple Q-bit models to perform search in a parallel manner, uses modified Q-bit updating strategy and quantum crossover operator to implement the efficient global search, uses an archive to preserve and select pareto optima, uses Timed Task Graph to describe the system functions, introduces multi-PRI scheduling strategy and PE slot-filling strategy to improve the time performance of system. Experimental results show that the proposed algorithm can solve the multi-objective co-synthesis problem effectively and efficiently.

Keywords

Genetic Algorithm Power Consumption Embed System Task Graph Current Target 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wei Wen-long
    • 1
  • Li Bin
    • 1
  • Zou Yi
    • 1
  • Zhuang Zhen-quan
    • 1
  1. 1.Nature Inspired Computation and Applications LaboratoryUniversity of Science and Technology of ChinaHefeiChina

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