Chook -- A comprehensive suite for generating binary optimization problems with planted solutions
Dilina Perera, Inimfon Akpabio, Firas Hamze, Salvatore Mandrà, Nathan Rose, Maliheh Aramon, Helmut G. Katzgraber · arXiv (Cornell University) · 2020
We present Chook, an open-source Python-based tool to generate discrete optimization problems of tunable complexity with a priori known solutions. Chook provides a cross-platform unified environment for solution planting using a number of techniques, such as tile planting, Wishart planting, equation planting, and deceptive cluster loop planting. Chook also incorporates planted solutions for higher-order (beyond quadratic) binary optimization problems. The support for various planting schemes and the tunable hardness allows the user to generate problems with a wide range of complexity on different graph topologies ranging from hypercubic lattices to fully-connected graphs.