While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Abstract--Wireless infrastructures can be conveniently categorized into two types: those that provide point-to-point `unicast' connectivity (e.g., cellular) and others that ar...
Abstract. This article extends and improves work on tableau-based decision methods for hybrid logic by Bolander and Bra¨uner [5]. Their paper gives tableau-based decision procedur...
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...