geneticparallelprogramming (GPP) is a novel geneticprogramming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logiccircuit synthesizing system integrating GPP and FlowMap, a Hybridize...
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ISBN:
(纸本)9781595931863
geneticparallelprogramming (GPP) is a novel geneticprogramming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logiccircuit synthesizing system integrating GPP and FlowMap, a hybridized GPP based logiccircuitsynthesizer (HGPPLCS) is developed. To show the effectiveness of the proposed HGPPLCS, six combinational logiccircuit problems are used for evaluations. Each problem is run for 50 times. Experimental results show that both the lookup table counts and the propagation gate delays of the circuits collected are better than those obtained by conventional design or evolved by GPP alone. For example, in a 6-bit one counter experiment, we obtained combinational digital circuits with 8 four-input lookup tables in 2 gate level on average. It utilizes 2 lookup tables and 3 gate levels less than circuits evolved by GPP alone.
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