The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …

Wafers are formed from very thin layers of a semiconductor material, hence, they are highly
susceptible to various kinds of defects. The defects are most likely to occur during the …

Abstract The aim of Information Lifecycle Management (ILM) is to govern data throughout its
lifecycle as efficiently as possible and effectively from technical points of view. A core aspect …

In this paper we investigate a new method for improving generalization performance of
Genetic Programming (GP) on Binary Classification tasks. The scheme of self adaptive …

Abstract In some Evolutionary Computations such as Genetic Algorithms or Evolution
Strategies, it is well known that the choice of genetic operator rates is important to the …

The subject of prime numbers has fascinated mathematicians for centuries. Some of the
methods for finding prime numbers date to antiquity [1]. The properties of primes have been …

In this article we explore and develop a holistic scheme of self adaptive, individualized
genetic operators combined with an adaptive tournament size together with a novel …

This work concerns the automatic adaptation of the probabilities of occurrence of the genetic
operators in Genetic Programming. We experiment with different adaptation methods …

The techniques of computer vision have been used more and more by the industries in order
to aid the automation of their processes; however, the implementation of computer vision …