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.

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.

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.

To solve DEDARP effectively, we propose a Genetic Programming Hyper-Heuristic (GPHH) that evolves heuristics/policies to dispatch vehicles in real time. We have developed a simulation process that ...

This paper illustrates the power of Genetic Programming (GP) with two simple examples: a housing price prediction based on only one variable (house size) and a mortgage default model based on the ...

This paper studies the Dynamic Electric Dial-A-Ride Problem (DEDARP), which is a combinatorial optimisation problem that has applications in real-world ridesharing services with electric vehicles. In ...

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