Designing polymorphic circuits with evolutionary algorithm based on weighted sum method

  • Authors:
  • Houjun Liang;Wenjian Luo;Xufa Wang

  • Affiliations:
  • Nature Inspired Computation and Applications Laboratory, Department of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China;Nature Inspired Computation and Applications Lab., Dept. of Comp. Sci. and Techn., Univ. of Sci. and Techn. of China, Hefei, Anhui, China and Anhui Key Lab. of Software in Computing and Comm., Uni ...;Nature Inspired Computation and Applications Lab., Dept. of Comp. Sci. and Techn., Univ. of Sci. and Techn. of China, Hefei, Anhui, China and Anhui Key Lab. of Software in Computing and Comm., Uni ...

  • Venue:
  • ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
  • Year:
  • 2007

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Abstract

Polymorphic circuit is a kind of multifunctional circuits that can perform two or more functions under different conditions. And those functions can be activated by changing control parameters, such as temperature, power supply voltage, illumination and so on. Polymorphic circuit provides a novel approach to build multifunctional circuits, and it can be used in many fields. However, polymorphic circuit can not be designed with conventional methods and is hard to be evolved with evolutionary algorithms directly. A novel evolutionary algorithm based on the weighted sum method is proposed in this paper, which can be used to evolve polymorphic circuits at gate level. The experimental results demonstrate that this algorithm can increase the success ratio and decrease the evolutionary generations needed to evolve a polymorphic circuit.