ID 原文 译文
25625 针对求解机器人路径规划问题，本文提出了一种多策略集成的樽海鞘群算法。 A multi-strategy ensemble salp swarm algorithm is proposed for solving problem of robot path planning.
25626 在该算法中，提出了新的自适应领导者结构，以平衡算法的探索和开发能力; In the algorithm, a new adaptive leader structure is proposed to balance the exploration and exploitation ability of the algorithm．
25627 引入可以提高 Lyapunov 指数的 Logistic-Cubic 级联混沌映射作为食物源的扰动算子，来避免算法陷入局部最优; The chaotic map of Logistic-Cubic cascade which can improve the Lyapunov exponent of the cascade chaotic system is introduced as the disturbance operator of the food source to avoid the algorithm falling into the local optimum.
25628 采用基于自适应参数的分散觅食策略使部分追随者探索有前景的区域。 A disperse foraging strategy based on adaptive parameters is adopted to force a part of followers to explore promising areas．
25629 在 CEC 2014 测试集的多种函数上，本文算法与 3 种改进的樽海鞘群算法和 5 种先进的群智能算法进行比较，结果表明本文算法综合优化性能更好。 The algorithmin this paper is compared with three improved SSA algorithms and five state-of-the-art swarm intelligence algorithms on IEEE CEC 2014 functions. The results show that the comprehensive optimization performance of the algorithm in this paperis better．
25630 本文算法 2 将其用于求解机器人路径规划问题，其中用三次样条插值对路径进行平滑。 The proposed algorithm is applied to solve the robot path planning problem, in which the path is smoothed by cubicsp line interpolation．
25631 在障碍是 8，9，13 的环境下分别进行仿真实验，仿真结果表明，本文算法在给定的仿真场景下与给定的对比算法相比获得了最好的结果。 Simulation experiments are implemented on computer in the environments where the obstacles are 8, 9, 13, respectively. The simulation results demonstrate that the proposed algorithm can achieve the best results compared with the given contrast algorithms in given simulation scenarios．
25632 研究分数阶多混沌系统滑模同步两种方法的比较。 Two methods contrast of sliding mode synchronization of fractional-order nonlinear systems were studied in the paper．
25633 分别设计了分数阶滑模面和非奇异终端滑模面，并证明了其稳定性。 We proposed fractional-order sliding surface and nonsingular terminal sliding surface and prove its stability．
25634 基于自适应方法设计了控制器和适应规则，得到分数阶多混沌系统取得滑模同步的两个充分条件。 The controllers and adaptive rules are derived based self-adaptive sliding mode methods． And the sufficient conditions were arrived for fractional-order Multy-Chaotic systems getting self-adaptive sliding mode synchronization．