论文标题
多用户远程实验室：使用单纯形非主导排序遗传算法的时间表调度
Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm
论文作者
论文摘要
多用户远程实验室的调度被建模为建议优化算法的多模式函数。提出了混合优化算法，Nelder-Mead-Mead算法的杂交和非主导的排序遗传算法（NSGA），提出了为远程实验室以协调共享访问的时间表问题来优化时间表问题。所提出的算法在探索方面利用了单纯形算法，而NSGA则考虑了考虑潜在区域的局部最佳点。所提出的算法应用于困难的非线性连续多模式功能，其性能与混合单纯形粒子群优化，单纯形遗传算法和其他启发式算法进行了比较。
The scheduling of multi-user remote laboratories is modeled as a multimodal function for the proposed optimization algorithm. The hybrid optimization algorithm, hybridization of the Nelder-Mead Simplex algorithm and Non-dominated Sorting Genetic Algorithm (NSGA), is proposed to optimize the timetable problem for the remote laboratories to coordinate shared access. The proposed algorithm utilizes the Simplex algorithm in terms of exploration, and NSGA for sorting local optimum points with consideration of potential areas. The proposed algorithm is applied to difficult nonlinear continuous multimodal functions, and its performance is compared with hybrid Simplex Particle Swarm Optimization, Simplex Genetic Algorithm, and other heuristic algorithms.
