— We consider dual subgradient methods for solving (nonsmooth) convex constrained optimization problems. Our focus is on generating approximate primal solutions with performance ...
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
In this paper, we propose a new robust approach to signal backtrace for efficiently testing embedded analog modules in a large system. The proposed signal backtrace method is form...
Abstract-- The problem of optimally controlling the processing rate of tasks in Discrete Event Systems (DES) with hard real-time constraints has been solved in [9] under the assump...
In a question answering (QA) system, the fundamental problem is how to measure the distance between a question and an answer, hence ranking different answers. We demonstrate that s...