A Python framework for benchmarking evolutionary algorithms. Compare custom heuristics against standard baselines (PSO, ABC, EDA) using classic n-dimensional test functions and rigorous statistical analysis.
Correctness-first evolutionary solver for program mutation, verification, optimization and benchmark-driven algorithm evolution.
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