In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy
enough. In this paper we present a distributed evolutionary computation system that uses …

The proposed generative evolutionary design framework allows the design team to restrict
design variability by specifying the character of designs to be evolved. This approach is …

While a lot of attention is usually devoted to the study of different components of evolutionary
algorithms or the creation of heuristic operators, little effort is being directed at how these …

The challenge of ad-hoc computing is to find the way of taking advantage of spare cycles in
an efficient way that takes into account all capabilities of the devices and inter connections …

Extracting comprehensible and general classifiers from data in the form of rule systems is an
important task in many problem domains. This study investigates the utility of a multi …

Modern securities exchanges have the concept of the open limit order book (LOB), where
any market participant can see all the orders in the market. Hidden orders are a variation on …

This paper proposes and evaluates a multi-objective evolutionary algorithm for survival
analysis. One aim of survival analysis is the extraction of models from data that approximate …

Objective. Living organisms regulate the expression of genes using complex interactions of
transcription factors, messenger RNA and active protein products. Due to their complexity …

In this chapter, a high-level comparison of both SOAP (Simple Object Access Protocol) and
REST (Representational State Transfer) is made. These are the two main approaches for …

Living organisms regulate the expression of genes using complex interactions of
transcription factors, messenger RNA and active protein products. Due to their complexity …