Abstract: This paper presents a multi-task allocation method integrating the visibility graph, A* algorithm, and simulated annealing to enhance scheduling stability and path accuracy in complex ...
This project is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...
Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...
Abstract: Aiming at the problems of long path planning time, excessive ineffective expansion nodes, and easy collision with obstacles that may occur when using traditional A* algorithm for unmanned ...
This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...
Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...
According to the environment modeling approach, path planning algorithms of micro-/nanorobots are classified into searching, sampling, and dynamic aspects. The searching path planning algorithms ...
In the contemporary technological landscape, ensuring confidentiality is a paramount concern addressed through various skillsets. Cryptography stands out as a scientific methodology for safeguarding ...
A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...
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