DocumentCode :
3206084
Title :
Einstein würfelt nicht! Strategies research and algorithm optimization
Author :
Junkai Lu ; Xiaoyan Wang ; Yingyu Li ; Yajie Wang ; Tianming Yu
Author_Institution :
Eng. Training Center, Shenyang Aerosp. Univ., Shenyang, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
5818
Lastpage :
5821
Abstract :
According to the characteristics of Einstein würfelt nicht! (EWN), studied the game´s best and worst starting positions and some game strategies. In addition, this paper presents an effective optimized Monte Carlo algorithm based on the game strategies of EWN. Finally, the optimized Monte Carlo algorithm played chess respectively with the Monte Carlo algorithm, then a result got by comparative analysis.
Keywords :
Monte Carlo methods; computer games; EWN game strategy; Einstein wurfelt nicht; Monte Carlo algorithm; algorithm optimization; chess; comparative analysis; game strategies research; Optimization; Einstein würfelt nicht!; Game Strategy; Montecarlo Algorithm; Optimized Monte Carlo Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7161847
Filename :
7161847
Link To Document :
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