Comparative Analysis of Minimax Algorithm with Alpha–Beta Pruning Optimization for Chess Engine-Reference-Cited by-同舟云学术

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Comparative Analysis of Minimax Algorithm with Alpha–Beta Pruning Optimization for Chess Engine

Published:2023 Issue: Volume: Page:237-247
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Choudhary Harshit,Inamdar Aniket,Kharade Swapnil,Maheshwari Anunay,Kale Preeti

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-4284-8_19

Reference10 articles.

1. Guo T, Qiu H, Tong B, Wang Y (2019) Optimization and comparison of multiple game algorithms in amazon chess. In: 2019 Chinese control and decision conference (CCDC). pp 6299–6304. https://doi.org/10.1109/CCDC.2019.8833089

2. Hu C, Wu X, Qian T, Luo H, Wang J (2020) An improved knowledge base for Chinese chess game. In: IEEE 4th information technology, networking, electronic and automation control conference (ITNEC). pp 1486–1490. https://doi.org/10.1109/ITNEC48623.2020.9085142

3. Vuckovic V (2015) Candidate Moves Method implementation in MiniMax search procedure of the Achilles chess engine. In: 12th International conference on telecommunication in modern satellite, cable and broadcasting services (TELSIKS). pp 314–317. https://doi.org/10.1109/TELSKS.2015.7357795

4. Experiments with Game tree search in real-time strategy games. arXiv:1208.1940v1 [cs.AI] 9 Aug 2012

5. Marsland TA, Bjornsson Y From minimax to manhattan. Games AI Res 5–17

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1. NIRNAY: An AI Chess Engine Based on Convolutional Neural Network, Negamax and Move Ordering;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

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