In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
The IBM Task Modeler supports the rapid creation and analysis of hierarchical task models, thereby providing a valuable and naturally visual tool for information architects. Task ...
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
This paper proposes a novel adaptive representation for evolutionary multiobjective optimization for solving a stock modeling problem. The standard Pareto Achieved Evolution Strat...
Mihai Oltean, Crina Grosan, Ajith Abraham, Mario K...
A graphical discrete event simulation library is proposed for system simulation that is based on interacting concurrent processes. This library works with EXTEND (Imagine That Inc...