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We propose a novel optimization scheme that can improve the routing by reducing a newly observed router decaying effect. A pair of greedy-grow algorithms, each emphasizing a different optimization target are designed. By applying one algorithm first and then switching to the other when the first one approaches its decaying stage, the undesired effect can be significantly reduced and thus better results are produced. On the tested MCNC and industry benchmarks, in addition to our very low segment consumption the total number of tracks used by our scheme is 37% less than a published conventional maze router and 22% less than the best known 2-step global/detailed router [4,5]. Our results show that complicated multi-objective problems could be effectively attacked by coupling low complexity algorithms that traverse the solution space in orthogonal directions. This idea is applicable on both algorithmic and architectural optimization approaches .