Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers. As transportation is at the heart of logistics, the design of tra?c and transportation networks combined with the routing of vehicles and goods on the networks are important and demanding planning tasks. The in?uence of transport, logistics, and s- ply chain management on the modern economy and society has been growing steadily over the last few decades. The worldwide division of labor, the conn- tion of distributed production centers, and the increased mobility of individuals lead to an increased demand for e?cient solutions to logistics and supply chain management problems. On the company level, e?cient and e?ective logistics and supply chain management are of critical importance for a company's s- cessanditscompetitiveadvantage. Properperformanceofthelogisticsfunctions can contribute both to lower costs and to enhanced customer service. Computational Intelligence (CI) describes a set of methods and tools that often mimic biological or physical principles to solve problems that have been di?cult to solve by classical mathematics. CI embodies neural networks, fuzzy logic, evolutionary computation, local search, and machine learning approaches. Researchersthat workinthis areaoften comefromcomputer science, operations research, or mathematics, as well as from many di?erent engineering disciplines. Popular and successful CI methods for optimization and planning problems are heuristic optimization approaches such as evolutionary algorithms, local search methods, and other types of guided search methods.

This book includes a selection of refereed papers presented at the "Annual International Conference of the German Operations Research Society (OR2016)," which took place at the Helmut-Schmidt-Universitat / Universitat der Bundeswehr Hamburg, Germany, Aug. 30 - Sept. 2, 2016. Over 700 practitioners and academics from mathematics, computer science, business/economics, and related fields attended the conference. The scientific program included around 475 presentations on the theme Analytical Decision Making, focusing on the process of researching complex decision problems and devising effective solution methods towards better decisions. The book presents papers discussing classical mathematical optimization, statistics and simulation techniques. Such approaches are complemented by computer science methods and tools for the processing of data and the design and implementation of information systems. The book also examines recent advances in information technology, which allow big data volumes to be treated and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Further, it includes problems modeled and treated under consideration of uncertainty, risk management, behavioral issues, and strategic decision situations.

Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers. As transportation is at the heart of logistics, the design of tra?c and transportation networks combined with the routing of vehicles and goods on the networks are important and demanding planning tasks. The in?uence of transport, logistics, and s- ply chain management on the modern economy and society has been growing steadily over the last few decades. The worldwide division of labor, the conn- tion of distributed production centers, and the increased mobility of individuals lead to an increased demand for e?cient solutions to logistics and supply chain management problems. On the company level, e?cient and e?ective logistics and supply chain management are of critical importance for a company's s- cessanditscompetitiveadvantage. Properperformanceofthelogisticsfunctions can contribute both to lower costs and to enhanced customer service. Computational Intelligence (CI) describes a set of methods and tools that often mimic biological or physical principles to solve problems that have been di?cult to solve by classical mathematics. CI embodies neural networks, fuzzy logic, evolutionary computation, local search, and machine learning approaches. Researchersthat workinthis areaoften comefromcomputer science, operations research, or mathematics, as well as from many di?erent engineering disciplines. Popular and successful CI methods for optimization and planning problems are heuristic optimization approaches such as evolutionary algorithms, local search methods, and other types of guided search methods.

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

The year 2009 celebrates the bicentenary of Darwin's birth and the 150th - niversary of the publication of his seminal work, On the Origin of Species.If this makes 2009 a special year for the research community working in biology and evolution, the ?eld of evolutionary computation (EC) also shares the same excitement. EC techniques are e?cient, nature-inspired planning and optimi- tion methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these methods can be used in the context of problem solving, optimization, and machine learning. A large and ever-increasing number of researchers and professionals make use of EC te- niques in various application domains. ThisvolumepresentsacarefulselectionofrelevantECapplicationscombined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and can help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving.

Evolutionary computation (EC) techniques are e?cient, nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and machine learning. A large and continuously increasing number of researchers and prof- sionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and - spire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2008, which consisted of a range of workshops on application-oriented aspects of EC. Since 1998, EvoWorkshops has provided a unique opportunity for EC researchers to meet and discuss applicationaspectsofECandhasservedasanimportantlink between EC research and its application in a variety of domains. During these ten years new workshops have arisen, some have disappeared, while others have matured to become conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO last year.

This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2007, held in Valencia, Spain in April 2007.

The 55 revised full papers and 24 revised short papers presented were carefully reviewed and selected from a total of 160 submissions. In accordance with the seven workshops covered, the papers are organized in topical sections on evolutionary computation in communications, networks, and connected systems, evolutionary computation in finance and economics, evolutionary computation in image analysis and signal processing, interactive evolution and humanized computational intelligence, evolutionary music and art, evolutionary algorithms in stochastic and dynamic environments, as well as evolutionary computation in transportation and logistics.

Einfuhrung in die Grundlagen der Wirtschaftsinformatik, in der wesentliche Themengebiete behandelt werden, die mit der Konzeption, der Entwicklung und dem Betrieb von Informations- und Kommunikationssystemen (als Gegenstand der Wirtschaftsinformatik) zusammenhangen. "

Diplomarbeit aus dem Jahr 2000 im Fachbereich Medien / Kommunikation - Medienokonomie, -management, Note: 1,0, Georg-August-Universitat Gottingen (Wirtschaftswissenschaften, Publizistik und Kommunikationswissenschaft), Sprache: Deutsch, Abstract: Inhaltsangabe: Einleitung: Nach dem Motto All the News that Fits Your Interest fordert das neuartige Nachrichtenangebot der Push-Dienste ein tragendes Selbstverstandnis des Journalismus heraus. Statt Journalisten, die fur ihre Rezipienten alle Nachrichten selektieren, die von ihnen als berichtenswert erachtet werden, tritt an die Stelle des entscheidenden Journalisten der einzelne Rezipient, der seine Nachrichten-Interessen aussert, und daraufhin aus der Fulle publizierter Nachrichten ausschliesslich mit den von ihm gewunschten Nachrichtenthemen beliefert wird. Die Arbeit setzt sich mit den beiden ubergeordneten Phanomenen Push-Dienste und individualisierte Nachrichten auseinander, um die neuen Moglichkeiten einer ausschliesslich auf die jeweiligen Nutzerinteressen ausgerichtete Zusammenstellung an Nachrichten untersuchen und bewerten zu konnen. Die Konzeption der Push-Dienste lost in den Kopfen vieler Menschen Faszination aus. Dies machen sich Push-Dienste zunutze, denn in Medienkreisen gilt als sicher, dass in Zukunft der Verbraucher verstarkt seine Bereitschaft, den Medien Aufmerksamkeit zu widmen, davon abhangig machen wird, inwieweit deren Angebote seinen personlichen Interessen entgegenkommen. Der Abonnent eines Push-Dienstes erhalt eine Art eigenstandig hergestellte Zeitung oder Nachrichten-Sendung. Darin konnen sich eine Vielzahl von Nachrichtenquellen quer durch die Medienlandschaft von Yellow-Press-Titeln bis hin zur seriosen Fachzeitschrift sowie Nachrichtenagenturen vereinen. Die Reaktionen auf die Einfuhrung der Push-Dienste in Deutschland im Jahre 1997 reichten von skeptischen Tonen, beispielsweise in der Frankfurter Rundschau, Das Netz wird aufdringlich, bis hin zur Euphorie des Focus, Datensurfe