For the unrelated parallel machine scheduling problem, a scheduling model with the minimum completion time as the optimization goal is established. By combining genetic algorithm and neighborhood ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...

We introduce a genetic model based on stochastic crossover to solve the Hamiltonian cycle problem (DHCP) for random digraphs containing a random Hamiltonian cycle. The genetic model represents a new ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...