A projection-based decomposition in EHW method for design of relatively large circuits
Yanyun Tao, Yuzhen Zhang, Lijun Zhang, Chao Gu · 2014
Scalability is the most important issue and not well-addressed in EHW field by far. To solve scalability, this paper proposes a novel EHW system called PD-ES, which integrates a Projection-based Decomposition (PD) and Evolutionary Strategy (ES). PD gradually decomposes a Boolean function by adaptively projecting it onto the property of variables, which makes the complexity and number of sub logic blocks minimized. The gate-level approach-CGP including ES searches complete solutions for these blocks. By employing PD into EHW system, the number of logic gates used for evolving and assembling the sub blocks decreases largely, and the scalability can be improved consequently. The MCNC circuits and n-parity circuits are used to prove the ability of PD-ES in solving scalability. The results illustrate that PD-ES is superior to 3SD-ES and fixed decomposition in evolving large circuits in terms of complexity reduction. Additionally, PD-ES makes success evolution in design of larger n-even-parity circuits as SDR has done.