Analysis of Delay-power Model of Long Chain and Optimization Based on Hybrid Evolution Particle Swarm Algorithm

Interconnect delay and power consumption are two of the main issues in deep-submicron meter technology and nano-meter technology. This paper proposes a long chain design method which takes power consumption and delay into consideration. This paper proposes a hybrid evolution particle swamp algorithm which by introducing inertia weighted operator and hybrid mutant operation overcomes such drawbacks such as low convergent speed, prematurity and local convergence. Tests employing benchmark function prove that the proposed algorithm is valid and efficient. The algorithm is applied to long chain design based on minimum energy delay product, simulation results show that in minimum power delay model the PDP is 26.34% lower than in minimum delay model, while in minimum energy delay model the EDP is 18.74% lower than in minimum delay model, simulations indicate the efficacy of such design method with HSPICE.