Abstract. We present an algorithmic framework for integrating solution methods that is based on search, inference, and relaxation and their interactions. We show that the following...
The conventional weighted aggregation method is extended to realize multi-objective optimization. The basic idea is that systematically changing the weights during evolution will l...
For multiple FPGA systems, the limited number of I/O pins causes many problems. To solve these problems, efficient communication scheduling among FPGAs is crucial for obtaining hi...
In the past two decades, the simulated annealing technique has been considered as a powerful approach to handle many NP-hard optimization problems in VLSI designs. Recently, a new...
Jason Cong, Tianming Kong, Dongmin Xu, Faming Lian...
Existing test problems for multi-objective optimization are criticized for not having adequate linkages among variables. In most problems, the Pareto-optimal solutions correspond ...