In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
— During volume testing, test application time, test data volume and high performance automatic test equipment (ATE) are the major cost factors. Embedded testing including builti...
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
This paper addresses the problem of scheduling real-time jobs that have multiple feasible intervals. The problem is NP-hard. We present an optimal branch-and-bound algorithm. When...