In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
In an open environment populated by large numbers of services, automated service composition is a major challenge. In such a setting the efficient interaction of directory-based s...
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
With an aim to understand the information encoded by DNA sequences, databases containing large amount of DNA sequence information are frequently compared and searched for matching ...
Chi Wai Yu, K. H. Kwong, Kin-Hong Lee, Philip Heng...