An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
SHYRS: A proof of concept for specifying how humans solve ARC-AGI-2 puzzles
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
High-performance Algorithmic Benchmarking Suite & PWA. Visualizes and compares search heuristics (A, IDA, BFS, DFS) with real-time complexity analysis. Engineered for high-frame-rate rendering and offline capability.
Modification of Gecode v5 kernel to support counting base search heuristics
Achieve near-perfect ARC-AGI-2 benchmark results with reproducible code focused on solving complex AI reasoning tasks efficiently.
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