When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
This paper discusses the issues involved in implementing a dynamic programming algorithm for biological sequence comparison on a generalpurpose parallel computing platform based o...
W. S. Martins, Juan del Cuvillo, F. J. Useche, Kev...
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
High performance computing in heterogeneous environments is a dynamically developing area. A number of highly efficient heterogeneous parallel algorithms have been designed over l...
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...