The article suggests an algorithm for regular classifier ensemble methodology. The proposed methodology is based on possibilistic aggregation to classify samples. The argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. The optimization aims at learning backgrounds as solid clusters in subspaces of the high...

in some multi-attribute decision making (madm) problems, various relationships among the decision attributes should be considered. this paper investigates the prioritization relationship of attributes in madm with trapezoidal intuitionistic fuzzy numbers (trifns). trifns are a special intuitionistic fuzzy set on a real number set and have the better capability to model ill-known quantities. fir...

An objective of transfer learning is to improve and speedup learning on target tasks after training on a different, but related source tasks. This research is a study of comparative Neuro-Evolution (NE) methods for transferring evolved multi-agent policies (behaviors) between multi-agent tasks of varying complexity. The efficacy of five variants of two NE methods are compared for multi-agent po...

Pattern classification seeks to minimize error of unknown patterns, however, in many real world applications, type I (false positive) and type II (false negative) errors have to be dealt with separately, which is a complex problem since an attempt to minimize one of them usually makes the other grow. Actually, a type of error can be more important than the other, and a trade-off that minimizes ...

Credit Assignment is an important ingredient of several proposals that have been made for Adaptive Operator Selection. Instead of the average fitness improvement of newborn offspring, this paper proposes to use some empirical order statistics of those improvements, arguing that rare but highly beneficial jumps matter as much or more than frequent but small improvements. An extreme value based C...

This paper proposes the evolutionary generation of an artificial creature’s personality by using the concept of multi-objective optimization. The artificial creature has its own genome and in which each chromosome consists of many genes that contribute to defining its personality. The large number of genes allows for a highly complex system, however it becomes increasingly difficult and time-co...