Finding the optimal sequence so as to minimizing the construction time is one of the solutions to lower the construction costs. This study proposes an effective and efficient optimization algorithm, Self-Organizing feather Map based optimization (SOMO), to minimize the construction time with an application to a case study in obtaining the optimal sequences for both primary and secondary bored piles of a secant pile wall. The SOMO is a new developed algorithm according to the human brain that is capable of producing topologically ordered mapping, and that can occur in the evolution of the feature map for optimization. The results demonstrate that the optimal sequences for both primary and secondary bored piles are determined with 27.21% of time saving. The practicability of the SOMO algorithm is substantiated.