We consider the problem of discovering the optimal pair of substring patterns with bounded distance α, from a given set S of strings. We study two kinds of pattern classes, one is...
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
A primary goal of high-level modeling is to efficiently explore a broad design space, converging on an optimal or near-optimal system architecture before moving to a more detaile...
Andrew S. Cassidy, JoAnn M. Paul, Donald E. Thomas
The first non-enumerative framework for diagnosing path delay faults using zero suppressed binary decision diagrams is introduced. We show that fault free path delay faults with ...
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...