Abstract: Concrete-placement sequencing method is a key link in the construction of high concrete arch dams. How to find a reasonable placement sequencing scheme through optimizing the progress and proportionality of concrete-placement construction is an interesting issue, but the current methods cannot effectively solve such a multi-objective problem. In this work, we have developed a multi-objective optimization model that incorporates the factors of concrete pouring and the sequencing schemes as variables and optimizes the objectives of time limit, month pouring strength, and pouring machine utilization. It adopts a particle swarm optimization (PSO) algorithm to solve the multi-objective problem. Application of our model in a case study shows that the placing sequence can be optimized and optimal schemes can be found by using Pareto optimal solutions and an optimization technique of approximating ideal solution (AIS). The results are better than those calculated by traditional simulation method and the new method presented would make a significant improvement on on-site construction of concrete dams.