One of the major components of any evolutionary system is the evaluation function. Evaluation functions are used to assign a quality measure for individuals in a population. Where...
AbstractGaphyl is an application of evolutionary algorithms (EA's) to phylogenetics, an approach used by biologists to investigate evolutionary relationships among organisms. ...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes within evolutionary systems. Following a summary of the significant features of em...
Abstract. Evolutionary methods are now beginning to be used routinely in design applications. However, even with computing speeds growing continuously, for many complex design prob...
Image registration has been a very active research area in the computer vision community. In the last few years, there is an increasing interest on the application of Evolutionary ...
Most evolutionary approaches to fault recovery in FPGAs focus on evolving alternative logic configurations as opposed to evolving the intra-cell routing. Since the majority of tra...
Jason D. Lohn, Gregory V. Larchev, Ronald F. DeMar...
This paper presents a method with an evolutionary approach to some of the tasks of integrated-circuit (IC) design. The work is focused on application-specific integrated circuits ...
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...