Solving Master Mind Using GAs and Simulated Annealing: A Case of Dynamic Constraint Optimization
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Efficient solutions for Mastermind using genetic algorithms
Computers and Operations Research
Improving evolutionary solutions to the game of mastermind using an entropy-based scoring method
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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The art of solving the Mastermind puzzle was initiated by Donald Knuth and is already more than thirty years old; despite that, it still receives much attention in operational research and computer games journals, not to mention the nature-inspired stochastic algorithm literature. In this paper we revisit the application of evolutionary algorithms to solving it and trying some recently-found results to an evolutionary algorithm. The most parts heuristic is used to select guesses found by the evolutionary algorithms in an attempt to find solutions that are closer to those found by exhaustive search algorithms, but at the same time, possibly have better scaling properties when the size of the puzzle increases.