Modelling the technological processes used in operator training simulators requires specific approaches. Unlike simulation of control loops where a model representing a part of the controlled process needs to be as exact as possible, training simulators do not require very exact modelling. What is required is to give operators the feeling that they are working with a real process. This can even...

The paper reports the development of a software platform, named PES (Parallelized Evolution System), that parallelizes the fitness evaluations of evolutionary methods over multiple computers connected via a network. The platform creates an infrastructure that allows the dispatching of fitness evaluations onto a group of computers, running both Windows or Linux operating systems, parallelizing t...

Recombination is a pervasive process generating diversity in most viruses. It joins variants that arise independently within the same molecule, creating new opportunities for viruses to overcome selective pressures and to adapt to new environments and hosts. Consequently, the analysis of viral recombination attracts the interest of clinicians, epidemiologists, molecular biologists and evolution...

This section provides detailed results for all sets of benchmark instances introduced by Meisel [1]. The notations of problems characteristics are the same as ones used in Meisel [1]. Loc indicates the distributions of tasks on the vessel, f indicates the the handling rate, d is the precedence density, q is the number of QCs, and s is the safety distance. The signs ∗ and ▲ respectively indicate...

The fossil record is well known to be incomplete. Read literally, it provides a distorted view of the history of species divergence and extinction, because different species have different propensities to fossilize, the amount of rock fluctuates over geological timescales, as does the nature of the environments that it preserves. Even so, patterns in the fossil evidence allow us to assess the i...

This paper introduces simple model-building evolutionary algorithms (EAs) that operate on continuous domains. The algorithms are based on supervised and unsupervised discretization methods that have been used as preprocessing steps in machine learning. The basic idea is to discretize the continuous variables and use the discretization as a simple model of the solutions under consideration. The ...

The real-world optimisation of dynamic processes, such as batch processes, space applications and robotic problems, is usually a matter of several objectives and constraints. In many cases it is difficult to deal with such problems with conventional methods. Evolutionary methods provide an interesting alternative, with less programming and computational efforts. This paper presents four Evoluti...

Boolean functions represent an important primitive when constructing many stream ciphers. Since they are often the only nonlinear element of such ciphers, without them the algorithm would be trivial to break. Therefore, it is not surprising there exist a substantial body of work on the methods of constructing Boolean functions. Among those methods, evolutionary computation (EC) techniques play ...

This paper describes an approach to use an adapted Evolution Strategies (ES) algorithm to generate improved sequences for producing unique parts in a flow shop. The algorithm uses principles from both genetic algorithms and Evolution Strategies. While several alternative algorithms were considered, the focus of this paper is on the one that performed the best for this problem domain. The best a...

A novel method to analyze evolutionary change is presented and its application to the analysis of sequence data is discussed. The investigated method uses phylogenetic trees of related proteins with an evolutionary model in order to gain insight about protein structure and function. The evolutionary model, based on amino acid substitutions, contains adjustable parameters related to amino acid a...