| Issue |
SHS Web Conf.
Volume 144, 2022
2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
|
|
|---|---|---|
| Article Number | 03009 | |
| Number of page(s) | 5 | |
| Section | Application of Artificial Intelligence Technology and Machine Learning Algorithms | |
| DOI | https://doi.org/10.1051/shsconf/202214403009 | |
| Published online | 26 August 2022 | |
A Comparison of Greedy Algorithm and Dynamic Programming Algorithm
High School Affiliated to Renmin University of China, Beijing, China
* Corresponding author. Email: 3408663616@qq.com
Two algorithms to handle the problem include greedy algorithms and dynamic programming. Because of their simplicity, intuitiveness, and great efficiency in addressing problems, they are frequently employed in a variety of circumstances. The connection and difference of the two algorithms are compared by introducing the essential ideas of the two algorithms. The knapsack problem is a classic problem in computer science. In the application of solving the backpack problem, greedy algorithm is faster, but the resulting solution is not always optimal; dynamic programming results in an optimal solution, but the solving speed is slower. The research compares the application properties and application scope of the two strategies, with the greedy approach being the better approach in solving the knapsack problem.
© The Authors, published by EDP Sciences, 2022
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