Stefan Wagner – författare

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems. Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems. Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.

Quality is not a fixed or universal property of software; it depends on the context and goals of its stakeholders. Hence, when you want to develop a high-quality software system, the first step must be a clear and precise specification of quality. Yet even if you get it right and complete, you can be sure that it will become invalid over time. So the only solution is continuous quality control: the steady and explicit evaluation of a product’s properties with respect to its updated quality goals.This book guides you in setting up and running continuous quality control in your environment. Starting with a general introduction on the notion of quality, it elaborates what the differences between process and product quality are and provides definitions for quality-related terms often used without the required level of precision. On this basis, the work then discusses quality models as the foundation of quality control, explaining how to plan desired product qualities and how to ensure they are delivered throughout the entire lifecycle. Next it presents the main concepts and techniques of continuous quality control, discussing the quality control loop and its main techniques such as reviews or testing. In addition to sample scenarios in all chapters, the book is rounded out by a dedicated chapter highlighting several applications of different subsets of the presented quality control techniques in an industrial setting. The book is primarily intended for practitioners working in software engineering or quality assurance, who will benefit by learning how to improve their current processes, how to plan for quality, and how to apply state-of-the-art quality control techniques. Students and lecturers in computer science and specializing in software engineering will also profit from this book, which they can use inpractice-oriented courses on software quality, software maintenance and quality assurance.

Quality is not a fixed or universal property of software; it depends on the context and goals of its stakeholders. Hence, when you want to develop a high-quality software system, the first step must be a clear and precise specification of quality. Yet even if you get it right and complete, you can be sure that it will become invalid over time. So the only solution is continuous quality control: the steady and explicit evaluation of a product’s properties with respect to its updated quality goals.This book guides you in setting up and running continuous quality control in your environment. Starting with a general introduction on the notion of quality, it elaborates what the differences between process and product quality are and provides definitions for quality-related terms often used without the required level of precision. On this basis, the work then discusses quality models as the foundation of quality control, explaining how to plan desired product qualities and how to ensure they are delivered throughout the entire lifecycle. Next it presents the main concepts and techniques of continuous quality control, discussing the quality control loop and its main techniques such as reviews or testing. In addition to sample scenarios in all chapters, the book is rounded out by a dedicated chapter highlighting several applications of different subsets of the presented quality control techniques in an industrial setting. The book is primarily intended for practitioners working in software engineering or quality assurance, who will benefit by learning how to improve their current processes, how to plan for quality, and how to apply state-of-the-art quality control techniques. Students and lecturers in computer science and specializing in software engineering will also profit from this book, which they can use inpractice-oriented courses on software quality, software maintenance and quality assurance.

Zusammenhänge zwischen Größen zu erkennen, zu beschreiben und darzustellen gehört zum Grundlagenwissen verschiedenster Fachgebiete. Nicht zuletzt der Fachkräftemangel sorgt dafür, dass junge Leute mit einem Verständnis für Zahlen, Muster und Strukturen sich schon heute ihr künftiges Berufsfeld aussuchen können.Dieses Kurzlehrbuch ist insbesondere für die Begabungsförderung entworfen und soll im Springer-Portfolio die Lücke schließen zwischen üblichen (oftmals stark vereinfachenden) schulischen Lehrbüchern und gut eingeführten Lehrwerken mit hohem wissenschaftlichem Anspruch. Es sammelt den Abiturlehrstoff, zeigt fachübergreifende Anwendungen und fördert das "Weiterdenken" mit bewährten Übungsaufgaben und Querverbindungen.Die Kurvendiskussion beginnt mit dem klassischen (nun immerhin schon 300 Jahre alten) Infinitesimalkalkül.Die Verfasser haben jahrelange Lehrerfahrung mit Jugendlichen und jungen Erwachsenen; sie entwickeln bewährte Mittel und Verfahren verständlich mit Herleitungen und Abbildungen.Die Produktfamilie WissensExpress bietet Ihnen Lehr- und Lernbücher in kompakter Form. Die Bücher liefern schnell und verständlich fundiertes Wissen.

Research on the patent system and the analysis of patenting activities have become an important field in economics and l)usin(\ss administration. The global demand for patcuit protection has been increasing strongly over the last decades. Institutional changes as well as the broadening of patentable subject matter pose new challenges to patentees and patent offices alike. Especially in Europe, the debate on the patentabihty of biotechnology and softwa- related inventions led to broad public attention to the design of the patent system. Given these developments, it is no wonder that practitioners as well as policy makers are turning to researchers for answers on how to cope with new challenges threatening the patent system. In his dissertation, Stefan Wagner attempts to answer some of these questions. Wagner apphes advanced econometric methods to large-scale data sets which were assembled specifically for the purpose of this thesis. His analysis focuses on various aspects of patent filings, examination and opposition at the European Patent Office. Each of the four self-contained chapters of this book addresses different issues which are important to all stake-holders of the patent system. Wagner closely analyzes institutional features of the European Patent Office, such as the duration of the examination of patent applications, the determinants of the occurrence of patent oppositions and the patentability of business methods under the European Patent Convention. In his concluding chapter he examines the managerial decision between outsourcing patent-related services to patent attorneys or generating them in-house.