We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Current biological sequence comparison tools frequently fail to recognize matches between homologs when sequence similarity is below the twilight zone of less than 25% sequence id...
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Software developers are frequently required to address evolving stakeholder concerns, which often result in changes to the source code of an application. Manually performing invas...
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...