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We study the transition time between different metastable states in the continuous Wright-Fisher (diffusion) model. We construct an adaptive landscape for describing the system both qualitatively and quantitatively. When strong genetic drift and weak mutation generate infinite adaptive peaks, we calculate the expected time to escape from such peak states. We find a new way to analytically approximate the escape time, which extends the application of Kramer's classical formulae to the cases ofdoi:10.1109/isb.2012.6314148 dblp:conf/isb/XuJJYA12 fatcat:lqcgbkxv25fi3edcdg6qhp4s74