—The full-complexity soft-input/soft-output (SISO) multiuser detector based on the a posteriori probability (APP) algorithm has a computational complexity growing exponentially w...
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Abstract. One of the most appealing features of constraint programming is its rich constraint language for expressing combinatorial optimization problems. This paper demonstrates t...
Humans can e ectively navigate through large search spaces, enabling them to solve problems with daunting complexity. This is largely due to an ability to successfully distinguish ...
The multi-processor total tardiness problem (MPTTP) is an ÆÈ-hard scheduling problem, in which the goal is to minimise the tardiness of a set of jobs that are processed on a numb...