基于启发式Dijkstra算法的生存方式

Zhang Haidong, Chen Qiuyu, Dou Yajie
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引用次数: 0

摘要

对于“LifeAfter”生存博弈问题,为了使其顺利通关,玩家需要满足多个条件,因此将生存问题抽象为多个约束条件下的路径规划问题。针对这一问题,我们基于启发式A *算法和Dijkstra算法创建了A- d算法。为了降低计算机计算的复杂性,我们通过空间交换时间的方法大大提高了算法的运行效率。针对课题中的三个问题,我们提出了三种不同的效益函数进行全局优化,避免陷入局部最优解,引导玩家在多重条件约束下,尽可能使目标函数值最大(分别为:供给点最小(营火点和食物点之和)、路径、饱足和舒适度终点最大)。
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The way of survival based on heuristic Dijkstra algorithm
For the “LifeAfter” survival game problem, in order to make it smooth customs clearance, players need to meet multiple conditions, so the survival problem is abstracted into the path planning problem under multiple constraints. Aiming at this problem, we create A-D algorithm based on heuristic A * algorithm and Dijkstra algorithm. In order to reduce the complexity of computer calculation, we greatly improve the operation efficiency of the algorithm by the method of space exchange time. For the three problems in the topic, we propose three different benefit functions to optimize the global, avoid falling into the local optimal solution, guide the player under the constraints of multiple conditions, as far as possible to make the objective function value the largest (respectively: the least supply point (the sum of campfire point and food point), the path, the end point of satiation and comfort is the largest).
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