Analyzing a Chess Engine Based on Alpha–Beta Pruning, Enhanced with Iterative Deepening-Reference-Cited by-同舟云学术

Analyzing a Chess Engine Based on Alpha–Beta Pruning, Enhanced with Iterative Deepening

Published:2022 Issue: Volume: Page:691-700
ISSN:2367-3370
Container-title:Expert Clouds and Applications
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Author:

Parashar Aayush,Jha Aayush Kumar,Kumar Manoj

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2500-9_51

Reference16 articles.

1. A. Bashar, Survey on evolving deep learning neural network architectures. J. Artif. Intell. 1(02), 73–82 (2019)

2. Z. Zhao, S. Wu, J. Liang, F. Lv, C. Yu, The game method of checkers based on alpha-beta search strategy with iterative deepening, in The 26th Chinese Control And Decision Conference (2014 CCDC)

3. R. Nasa, R. Didwania, S. Maji, V. Kumar, Alpha-Beta Pruning in Minimax algorithm “An optimized approach for a connect-4 game”. Int. Res. J. Eng. Technol. (IRJET) (2018)

4. W. Guangyao, L. Hedan, Study on the algorithm based on the important region of the board, in 2018 Chinese Control And Decision Conference (CCDC)

5. A. Primanita, R. Effendi, W. Hidayat, Comparison of A∗ and Iterative Deepening A∗ algorithms for non-player character in Role Playing Game, in 2017 International Conference On Electrical Engineering And Computer Science (ICECOS) (2017)

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1. Implementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game;IEEE Access;2024

2. Comparing Traditional and Deep Learning Approaches in Developing Chess AI Engines;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19