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The container-loading problem occurring in on-the-spot freight production is often with several constraints and objectives, i.e., complex container-loading problem. The robustness, parallelism, and a variety of applications in the solution of NP-complete problem of the genetic algorithm demonstrate that the genetic algorithm is an effective approach to solve the complex container-loading problem. In this paper, the genetic algorithm for complex container-loading problem is studied, and the effective coding and decoding methods are given. The numerical solution of example shows that the algorithm is effective.