1) State Space Heuristic Search Planning
启发式状态空间规划
2) Heuristic State Space Search
启发式状态空间搜索
3) Planning as heuristic search in state space
状态空间启发式搜索
4) dynamic programming heuristics
动态规划启发式
1.
Simulation results show that some of the ds-2-opt solutions and most of ds-3-opt solutions are better than those of dynamic programming heuristics,and the dynasearch algorithms can solve a TDTSP with a larger scale.
5-opt解和绝大部分ds-3-opt解优于动态规划启发式算法,且能求解更大规模的TDTSP问题。
5) heuristic dynamic programming
启发式动态规划
1.
In a dynamic environment, a robot s collision free algorithm combining robot s basic collision avoidance strategies with the heuristic dynamic programming was presented.
以机器人基本避障策略与启发式动态规划法相结合的方法 ,研究了在障碍物轨迹已知的动态环境中机器人的路径规划问题 。
2.
Using heuristic dynamic programming method,the strategic behavior of dynamic programming and iteration of reward and penalty factors are regarded as agent and the external uncertain factors as the external environment of the agent.
采用启发式动态规划方法,将动态规划的策略行为和奖惩因子迭代过程看作智能体(agent),将外界不确定因素当作该智能体的"外部环境"。
补充资料：启发
①开导指点，使产生联想并有所领悟：启发式教学｜这番话对我很有启发。②阐明；阐释：启发篇章，校理秘文。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条