Obtaining comprehensible classification rules may be extremely important in many real
applications such as data-driven decision-making and classification tasks. Decision-tree …

A new variant of genetic algorithm, which provides equal opportunity for all parent solution to
produce the offspring solution, has been applied in discovery of classification rules from …

Abstract Total Resource Management (TRM) in industry 3.5 relates to the evaluation and
improvement of performance through the use of intelligent tools or methods in enhancing …

This paper proposes a new approach to produce classification rules based on evolutionary
computation with novel crossover and mutation operators customized for execution on …

In this research study, we analyze the performance of bio inspired classification approaches
by selecting Ant-Miners (Ant-Miner, cAnt_Miner, cAnt_Miner2 and cAnt_MinerPB) for the …

Son yıllarda doğadan esinlenerek oluşturulmuş modern sürü zekalı optimizasyon
algoritmaları daha popüler hale gelmiştir. Bu optimizasyon tekniklerinden biri de ateşböceği …

A genetic algorithm (GA) is heuristic search that replicate the process of natural selection. It
is inspired by natural evolution techniques such as selection, crossover and mutation …

Object-based image analysis techniques give accurate results when a good knowledge
base is extracted from remote sensing imagery. Data mining algorithms, especially the …

Evolutionary algorithms are inspired by the biological model of evolution and natural
selection and are used to solve computationally hard problems, also known as NP-hard …

The increasing scale of data information cause the great amount of irrelevant attributes,
which becomes a challenging issue for machine learning. Therefore, removing the …