selimfirat/ai-n-queens

Implements configurable parameters for each algorithm—iteration limits, temperature decay for simulated annealing, beam width for local beam search, and mutation rates for genetic algorithms—enabling comparative analysis of convergence behavior. The architecture initializes from random board states and includes adaptive mechanisms like local maxima escape (hill climbing/beam search) and temperature-based move acceptance (simulated annealing). Built with a visual GUI that renders real-time board configurations and algorithm progress across all four search strategies.

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