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The study explores the evolution of no-loss strategies for Tic-tac-toe using genetic algorithms (GAs), aiming to generate and analyze over 72,000 no-loss strategies. It critiques existing methodologies and introduces innovative representation and evaluation techniques to enhance strategy development. The findings suggest that these strategies can lead to improved win-to-draw ratios and may inspire similar approaches in other board games.

Author

Vaibhav Dubey

Language

EN