随着各类宽带组播业务的急剧增加，以及用户对组播业务的服务质量（QoS）要求不断提高，如何在下一代WSON光网络中实现QoS组播成为业界研究的热点。因此，本项目拟研究实现基于PCE的多层多域光网络QoS组播路由的智能优化方案，包括扩展路径计算单元PCE的体系结构和相关的PCEP协议对跨域QoS组播路由的支持；针对多种不同优化目标以及QoS约束的存在，首次提出基于PCE的光网络QoS组播路由多目标优化模型； 拟设计多种满足波长一致性和物理损伤约束条件的QoS组播路由元启发式（Meta-heuristic）智能优化算法；并创新的提出采用适应度地形（Fitness landscapes）理论分析方法来分析所设计的算法解决该问题的适应值地形特征及其对解决该问题的有效性和困难程度，从而为算法的改进提供理论依据；最后采用离散事件仿真软件OMNeT++分析和验证提出的优化方案和算法的性能。

With the rapid increase of various wideband multicast services and users' different QoS requirement on the Internet, how to support the QoS multicast routing in the next generation WSON optical network is becoming a research hotspot. The research in this proposal aims to investigate the QoS multicast routing in the PCE-based multi-layer and multi-domain optical network by means of some intelligent optimization approaches. The main contributions in the research include the extension of the architecture of Path Computation Element (PCE) and the corresponding PCEP protocol to support QoS multicast routing; a mathematic model of multi-objective optimization is proposed for the QoS multicast routing in the PCE-based multi-layer and multi-domain WSON optical network due to the existence of different optimization objectives (such as the utilization of bandwidth、end-to-end dealy、network blocking probability, etc.) and various QoS requirements (including wavelength continuity and physical impairment constraints); some new meta-heuristic optimisation algorithms are proposed for solving the problem; a novel fitness landscape analysis approach is applied for the first time to theoretically analyze the landscape structure and predict the effectiveness and difficulty of the algorithm for solving the problem which can provide the theoretical basis for improving the algorithm; finally, the discrete event simulator OMNeT++ is used to evaluate the performance of the proposed optimization approaches and algorithms.