In this paper, we present a heuristic algorithm that improves the performance of static task scheduling. Our algorithm is based on the list-scheduling mechanism. For the listing p...
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
It is widely assumed and observed in experiments that the use of diversity mechanisms in evolutionary algorithms may have a great impact on its running time. Up to now there is no...
Current FPGA placement algorithms estimate the routability of a placement using architecture-specific metrics. The shortcoming of using architecture-specific routability estimates ...