海洋平台项目调度是项目管理中最为关键的一环，调度的成功与否直接影响项目运作效率。目前对海洋平台项目调度的研究很少考虑多模态选择和多项目并行的影响。对此，本研究拟基于Multi-Agent建立多重约束海洋平台项目多模态调度模型，联合动态联盟理论研究多层级项目调度动态协调机制，探索多重约束项目多模态调度优化方法。首先，分析多重约束与多模态选择下的海洋平台项目调度多目标和调度机理，采用面向项目和决策主体的混合工作分解方法研究具有多模态选择的多重约束项目工作分解机制；其次，基于Multi-Agent构建多重约束海洋平台项目多模态调度模型；然后，引入动态联盟理论和上下级协商机制，形成市场拍卖和让步策略融合的Multi-Agent动态联盟机制，建立多层级项目调度动态协调机制；采用智能优化方法研究多重约束海洋平台项目多模态调度优化方法；最后，开展模型仿真和实例验证，验证模型与方法的有效性。

Offshore platform project scheduling is the most critical part during the platform lifecycle. Whether the tasks can be successfully scheduled directly relates to the construction quality, cost control and the time limit quota. The current research on offshore platform scheduling has little regard to the effects of multi-project parallel and multi-mode selection. To solve this problem, the multi-mode.scheduling model of offshore platform project under multi-constraint based on Multi-Agent is established. Then, further research is carried on dynamic coordination mechanism of multi-level offshore platform project scheduling by combining the dynamic alliance theory. Besides, some certain optimization methods are explored to deal with the multi-mode scheduling problems of offshore platform project under multi-constraint.Firstly, the research establishes the objectives of offshore platform project scheduling and analysis the mechanism of offshore.platform project scheduling. The mixed decomposition method oriented to the project and the decision bodies is adopt to make clearly the work breakdown mechanism of offshore platform project with multi-mode selection under multi-constraint. Secondly, the Multi-Agent is applied to build the model of offshore platform project with multi-mode under multi-constraint . Thirdly, dynamic theory and superior-subordinate consultation mechanism is introduced to form a dynamic alliance mechanism which combines the auction market with the concession strategy. Then, the research establishes the dynamic consultation mechanism of multi-level offshore platform project scheduling. Last, algorithm optimization and model simulation of typical offshore platform scheduling problem is developed to verify the modeling and method feasibility.