It involves two phases: a forward phase where variables are selected in sequence and assigned consistent values, and a backward phase where the algorithm returns to the previous variable when no consistent solution exists. AI generated definition based on: Constraint Processing, 2003...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 def handle_nogood(self, it, ok_set, nogood_set): del_list = [] i = 0 ignore = False for nogood in nogood_set: if nogood.it == it - 1 and nogood.receiver_id == self.id: del_list.append(i) ignore = self.ignore_nogood(...
Abstract: Constrained programming is the concept used to select possible alternatives from an incredibly diverse range of candidates. This paper proposes an AI-assisted Backtracking Scheme (AI-BS) by integrating the generic backtracking algorithm with Artificial Intelligence (AI). The detailed study ...
In this project, an Artificial Intelligence (AI) based algorithm called Recursive Backtracking Depth First Search (RBDS) is proposed to explore a maze to reach a target location, and to take the shortest route back to the start position. Due to the limited energy and processing resource, a ...
问生成一个没有检查板的迷宫-Eller的方法/对列/行的递归BackTrackingEN在《PQ-综合实战：根据关键词匹配...
The primary objective of this project is to showcase the capabilities of AI and CSP in resolving complex puzzles and to generate engaging visualizations of the search process. In doing so, the algorithm neglects to incorporate advanced techniques such as forward checking and arc consistency to enha...
In this paper, we propose DynABT, a new Asynchronous algorithm for DDisCSPs which combines solution and reasoning reuse i.e. it handles problem changes by modifying the existing solution while re-using knowledge gained from solving the original (unchanged) problem. The benefits obtained from this...
Backtracking search algorithmHierarchical knowledgeMulti-strategy mutationProbability vectorSelf-learning strategyTo improve the performance of the backtracking search optimization algorithm (BSA), a multi-population cooperative evolution strategy guided BSA with hierarchical knowledge (HKBSA) is proposed in this...
Backtracking along with Constraint Processing and their Time Complexities - Zahn, Hower - 1996 () Citation Context ...into backtracking in the following way: whenever a variable is instantiated, a new CSP is created; then a constraint propagation algorithm is applied to remove local inconsistencies...
The source code of the proposed algorithm can be found from: https://github.com/jsuzyy/BSADP.doi:10.1016/j.engappai.2023.106331Yiying ZhangChao HuangHailong HuangEngineering Applications of Artificial Intelligence