The purpose of this paper is to explore the field of Risk Management (RM) in relation with Knowledge Management (KM). It attempts to present a conceptual framework, called Knowledge-Based Risk Management (KBRM) that employs KM processes to improve its effectiveness and increase the probability of success in innovative Information Technology (IT) projects. It addresses initiatives towards employ...

This article describes model-based methods for global optimization. After introducing the global optimization framework, modeling approaches for stochastic algorithms are presented. We differentiate between models that use a distribution and models that use an explicit surrogate model. Fundamental aspects of and recent advances in surrogate-model based optimization are discussed. Strategies for...

Identification of good surrogate end-points can greatly facilitate the design of clinical trials. Using data from PROWESS and ENHANCE, Shorr and colleagues explore the potential value of several plasma biomarkers for treatment trials of activated protein C for severe sepsis. Based on the framework proposed by Vasan, they tested the utility of several factors (protein C, interleukin-6, antithrom...

Since its introduction, the component-oriented paradigm has exerted strong influence on the development process of software. Second generation component technologies like .NET or Java provide a plethora of general-purpose components ready to be reused, putting development efforts on a firm footing of well-tested building blocks. Albeit being a very successful approach in software development, c...

In this paper we present an enhanced evolutionary algorithm (EA) to solve computationally expensive design optimization problems. In this algorithm we integrate a genetic algorithm (GA) with a local search method to expedite convergence of the GA. We first use a GA to generate a population of data by evaluating real functions, then we construct computationally cheap surrogate models based on th...