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This proceedings set contains 85 selected full papers presented at the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 1113, 2015 at Lorraine University, France. The present part I of the 2 volume set includes articles devoted to Combinatorial optimization and applications, DC programming and DCA: thirty years of Developments, Dynamic Optimization, Modelling and Optimization in financial engineering, Multiobjective programming, Numerical Optimization, Spline Approximation and Optimization, as well as Variational Principles and Applications.

Artificial Intelligence (incl. Robotics). --- Artificial intelligence. --- Computational Intelligence. --- Engineering. --- Operation Research/Decision Theory. --- Operations research.

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The presented work combines two areas of research: cooperative game theory and lot size optimization. One of the most essential problems in cooperations is to allocate cooperative profits or costs among the partners. The core is a well known method from cooperative game theory that describes efficient and stable profit/cost allocations. A general algorithm based on the idea of constraint generation to compute core elements for cooperative optimization problems is provided. Beside its application for the classical core, an extensive discussion of core variants is presented and how they can be handled with the proposed algorithm. The second part of the thesis contains several cooperative lot sizing problems of different complexity that are analyzed regarding theoretical properties like monotonicity or concavity and solved with the proposed row generation algorithm to compute core elements; i.e. determining stable and fair cost allocations.

Economics/Management Science. --- Game Theory/Mathematical Methods. --- Operation Research/Decision Theory. --- Production/Logistics/Supply Chain Management. --- Economics. --- Economics, Mathematical. --- Operations research. --- Economie politique --- Mathématiques économiques --- Recherche opérationnelle --- Economics --- Economics, Mathematical --- Business logistics

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This new edition of Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioral changes based on social interaction processes. Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics and mathematics, but they have very often proven their explanatory power in chemistry, biology, economics and the social sciences as well. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces important concepts from nonlinear dynamics (e.g. synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches, a fundamental dynamic model is obtained, which opens new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, evolutionary game theory and social field theory. Moreover, it implies numerous new results and is relevant for various application areas, such as opinion formation, migration, the self-organization of behavioral conventions, and the behavior of customers and voters. Theoretical results are complemented and illustrated by numerous computer simulations. Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics. 

Mathematics. --- Probability Theory and Stochastic Processes. --- Operation Research/Decision Theory. --- Game Theory, Economics, Social and Behav. Sciences. --- Socio- and Econophysics, Population and Evolutionary Models. --- Social Sciences, general. --- Distribution (Probability theory). --- Operations research. --- Social sciences. --- Mathématiques --- Distribution (Théorie des probabilités) --- Recherche opérationnelle --- Sciences sociales --- Social interaction --- Stochastic processes --- Mathematical models --- Social interaction - Mathematical models

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In the consumer packaged goods industry, usually a large number of final items are produced in a highly automated flow line production system. Florian Seeanner presents a mathematical model which is an improved version of the General Lot-Sizing and Scheduling Problem for Multiple production Stages (GLSPMS) to tackle the problem of shifting bottlenecks. Especially, a new meta-heuristic is developed which combines the principles of Variable Neighborhood Decomposition Search (VNDS) and Exchange. This VNDS+E heuristic is able to find very good solutions for the improved GLSPMS, including a real-world problem case. Finally, further model extensions, e.g., for scarce setup resources, are proposed.    Contents ·         Simultaneous Lot-Sizing and Scheduling for Flow Line Production Systems ·         MIP Models and Heuristic Solution Procedures ·         Practical Application    Target Groups ·         Researchers and students in the field of production planning ·         Executives in this area     The Author Dr. Florian Seeanner wrote his dissertation under Prof. Dr. Herbert Meyr’s supervision at the Chair of Production and Supply Chain Management at the Technische Universität Darmstadt.     The Editors The series Produktion und Logistik is edited by Prof. Dr. Bernhard Fleischmann, Prof. Dr. Martin Grunow, Prof. Dr. Hans-Otto Günther, Prof. Dr. Stefan Helber, Prof. Dr. Karl Inderfurth, Prof. Dr. Herbert Kopfer, Prof. Dr. Herbert Meyr, Prof. Dr. Thomas S. Spengler, Prof. Dr. Hartmut Stadtler, Prof. Dr. Horst Tempelmeier und Prof. Dr. Gerhard Wäscher.

Business & Economics --- Economic Theory --- Production planning. --- Manufacturing planning --- Process planning --- Business. --- Operations research. --- Decision making. --- Business and Management. --- Operation Research/Decision Theory. --- Planning --- Production engineering --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making

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Making decisions is certainly the most important task of a manager and it is often a very difficult one. This book offers a decision making procedure for solving complex problems step by step. Unlike other texts, the book focuses on problem analysis, on developing solution options and on establishing the decision making matrix. The book is intended for decision makers in companies, in non-profit organisations and in public administration. It is an approach to helping them to solve complex problems successfully. The book is also addressed to students and to participants in executive courses.

Decision making. --- Problem solving. --- Decision making --- Problem solving --- Management Theory --- Management --- Business & Economics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Business. --- Management. --- Operations research. --- Business and Management. --- Operation Research/Decision Theory. --- Choice (Psychology) --- Methodology --- Psychology --- Executive functions (Neuropsychology) --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Administration --- Industrial relations --- Organization