Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
We present a general approach to the FPGA technology mapping problem that applies to any logic block composed of lookup tables LUTs and can yield optimal solutions. The connecti...
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
To execute a shared memory program efficiently, we have to manage memory consistency with low overheads, and have to utilize communication bandwidth of the platform as much as pos...