Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
The need for software architecture evaluation has drawn considerable attention in recent years. In practice, this is a challenging exercise for two main reasons. First, in deploye...
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...