Data preprocessing is an often neglected but major step in the data mining process. The
data collection is usually a process loosely controlled, resulting in out of range values, eg …

This paper introduces a software tool named KEEL which is a software tool to assess
evolutionary algorithms for Data Mining problems of various kinds including as regression …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

In the classification problem field, we often encounter many real application areas in which
the data do not have an equitable distribution among the different classes of the problem. In …

Concentrating Photovoltaic (CPV) technology attempts to optimize the efficiency of solar
energy production systems. As conventional Photovoltaic (PV) technology, suffers from …

This paper presents a new evolutionary cooperative–competitive algorithm for the design of
Radial Basis Function Networks (RBFNs) for classification problems. The algorithm, CO 2 …

Many engineering design problems can be formulated as constrained optimization problems
which often consist of many mixed equality and inequality constraints. In this article, a hybrid …

Abstract This paper introduces Lags COevolving with Rbfns (L-Co-R), a coevolutionary
method developed to face time-series forecasting problems. L-Co-R simultaneously evolves …

The paper presents an approach to model nonlinear dynamic behaviors of the Automatic
Depth Control Electrohydraulic System (ADCES) of a certain minesweeping weapon with …

The importance of optimization for decision makers solving real-life engineering problems
has increased in recent decades. In the literature, methods created for multiobjective …