Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
We introduce the notion of a data topology and the problem of topology search over databases. A data topology summarizes the set of all possible relationships that connect a given...
This paper proposes an ontology mapping based framerowk that allows searching for web resources using multiple ontologies. The proposed solution uses a mapping ontology that is a ...
This paper concerns approximate nearest neighbor searching algorithms, which have become increasingly important, especially in high dimensional perception areas such as computer v...
Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Y...