In this paper, an integer linear programming (ILP) model is newly introduced for the problem. Two meta-heuristics are then derived from the ILP relaxation.

Pole Przemyslaw "Psyho" Debiak won the prestigious AWTF Heuristic programming tournament. He beat not only the human participants, but also AI. He is the only human to have succeeded.

We show that the tightness of the linear programming relaxation of these formulations is directly related to the performance of a class of heuristics called parameter list scheduling heuristics.

The AtCoder World Tour Finals (AWTF) is regarded as the ultimate stage for heuristic programming contests that focus on “good-enough” solutions to complex, unsolvable problems rather than ...

The AtCoder World Tour Finals (AWTF) is the final stage of heuristic programming competitions that focus on solving complex problems rather than trivial tasks. This year’s challenge was to build a ...

MYCIN was an AI program developed at Stanford University in the early 1970s, designed to assist physicians by recommending treatments for certain infectious diseases.

In programming, heuristics are problem-solving techniques that find good-enough solutions through shortcuts and educated guesses when perfect answers would take too long to calculate.