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This journal publishes high-quality, peer-reviewed papers on the modeling and control of discrete event dynamical systems (DEDS). It presents general theories and methodologies of DEDSs and their applications as well as discusses practical problems from which some generally applicable DEDS theories or methodologies can be formulated. The scope of the journal is defined by its emphasis on the modeling of discrete events by dynamic systems, and on problems of their control and optimization. Discrete Event Dynamic Systems covers all aspects of DEDS, including: theory and formal models (supervisory control, Petri-Nets, Min-Max-plus algebra, DEDS specification, or simulation formalisms), performance analysis, optimization, and optimal control (perturbation analysis, control synthesis, sample-path-based approaches, AI-based learning schemes, scalable solutions to large and complex systems), and applications (case studies and software engineering).

EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand.

Data-driven science is rapidly emerging as a complementary approach to the traditional hypothesis-driven method. This revolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly. The journal EPJ Data Science addresses the challenges of the data revolution across academic disciplines: ·         how to extract meaningful data from systems with ever-increasing complexity·         how to analyze data in ways that inspire new insights·         how to generate data that is needed but not yet available·         how to develop new empirical laws, or more fundamental theories, concerning the function of complex natural or artificial systems EPJ Data Science spans a broad range of research areas and applications with a focus on social systems, where it comprises those research lines that regard digital traces of human behavior as first-order objects for scientific investigation. This includes human and animal social behavior and interaction, economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting.

The journal publishes original research papers of high scientific quality in two areas: Mathematical Modelling, and Numerical Analysis. Mathematical Modelling comprises the development and study - e.g. structure, well-posedness, solution properties - of a mathematical formulation of a problem (or class of problems). Numerical Analysis comprises the formulation and study - e.g. stability, convergence, computational complexity - of a numerical approximation or solution approach to a mathematically formulated problem (or class of problems).

The EURO Journal on Transportation and Logistics promotes the use of mathematics in general, and operations research in particular, in the context of transportation and logistics. It is a forum for the presentation of original mathematical models, methodologies and computational results, focussing on advanced applications in transportation and logistics. The journal publishes two types of document: (i) research articles and (ii) tutorials. A research article presents original methodological contributions to the field (e.g. new mathematical models, new algorithms, new simulation techniques). A tutorial provides an introduction to an advanced topic, designed to ease the use of the relevant methodology by researchers and practitioners.

The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of ecoinformatics, computational ecology and systems ecology. The scope of the journal takes into account the data-intensive nature of ecology and the precious information content of ecological data in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on recent developments in sensor-based data acquisition, internet-based data archiving and sharing, data assimilation, inductive reasoning and forecasting of ecological data.The journal invites papers on: •novel concepts and tools for the acquisition, management, analysis and synthesis of ecological data including genomic and paleoecological data, •understanding ecosystem functioning and evolution, and •informing decisions on environmental issues like sustainability, climate change and biodiversity.

Energy related problems are part of the major challenges for humanity in this century worldwide. In most countries energy is the first national priority. Energy Systems aims for mathematical programming, control, and economic approaches towards energy systems related topics. The topics covered include power systems optimization, unit commitment, power generation, power trading, electricity risk management, competition in electricity markets, bidding strategies as well as market power issues. Mathematical theory and algorithms for stochastic optimization methods applied to energy problems are also included as well as modeling issues such as process optimization, synthesis, design and operation. The papers published in the journal deal with theoretical, computational, and applied aspects of 'energy systems' as well as state of the art review papers.

The aim of the Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum, and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion.

Engineering with Computers is an international journal for simulation-based engineering. It publishes original papers and authoritative state-of-the-art reviews on the technologies supporting simulation-based engineering, and examples of operational simulation-based engineering systems. A partial list of the technical areas covered includes: adaptive simulation techniques, engineering databases, integration with CAD geometry, mesh generation, parallel simulation methods, simulation frameworks, user interface technologies and visualization techniques. Application areas covered include any to which engineering technologies are applied and will range from applications in the automotive industry, to the design of medical devices.

The European Journal of Operational Research (EJOR) publishes high quality, original papers that contribute to the methodology of operational research (OR) and to the practice of decision making. EJOR contains the following types of papers:• Invited Reviews, explaining to the general OR audience the developments in an OR topic over the recent years• Innovative Applications of OR, describing novel ways to solve real problems• Theory and Methodology Papers, presenting original research results contributing to the methodology of OR and to its theoretical foundations,• Short Communications, including comments on papers previously published in EJORThe Theory and Methodology Papers are classified into one of the seven headings:• Continuous Optimization• Discrete Optimization• Production, Manufacturing and Logistics• Stochastics and Statistics• Decision Support• Computational Intelligence and Information Management• Interfaces with Other DisciplinesIn addition to these types of papers, EJOR contains Book Reviews.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

'Evolving Systems' covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems. Evolving systems are inspired by the idea of system model evolution in a dynamically changing and evolving environment. They use inheritance and gradual change with the aim of life-long learning and adaptation, self-organization including system structure evolution in order to adapt to the (unknown and unpredictable) environment as structures for information representation with the ability to fully adapt their structure and adjust their parameters. 'Evolving Systems' solicits publications that address the problems of modelling, control, prediction, classification and data processing in non-stationary, unpredictable environments and describe new methods and approaches for design of systems able to fully adapt its structure rather than adjust its parameters based on a pre-trained and fixed structure. The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety - from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as conventional systems, neuro-fuzzy systems, evolutionary systems, Bayesian systems, machine learning methods, clustering, and classification, but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services. The common features for all submitted methods and systems are evolvability and knowledge discovery. The journal is encompassing contributions related to: 1) Methods of computational intelligence and mathematical modelling 2) Inspiration from Nature and , Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics 3) Applications in engineering, business, social sciences.

Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions.FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest:Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible.Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems.Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories.Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.Multiphase behaviour: whether purpose-designed, or adapted from single-phase operation, coverage of systems for single-phase liquid and gas flows, multiphase flows having solid, liquid and gas phases, and slurries and pastes is equally welcome.Associated measurements and secondary instrumentation: for example, density, viscosity and secondary instrumentation effects.All contributions are subject to peer review, and additional features include:Review articlesCase studiesLetters to the editorPatent surveysBook reviewsCalendar of events and conference reportsFlow Measurement and Instrumentation is essential reading for instrumentation engineers in the oil, gas, power, chemical, food, water and waste treatment industries, manufacturers of flowmeters, and academics involved in research in this area.

The investigation of phenomena involving complex geometry, patterns and scaling has gone through a spectacular development in the past decades. For this relatively short time, geometrical and/or temporal scaling have been shown to represent the common aspects of many processes occurring in an unusually diverse range of fields including physics, mathematics, biology, chemistry, economics, technology and human behavior. As a rule, the complex nature of a phenomenon is manifested in the underlying intricate geometry which in most of the cases can be described in terms of objects with non-integer (fractal) dimension. In other cases, the distribution of events in time or various other quantities show specific scaling behavior, thus providing a better understanding of the relevant factors determining the given processes.Using fractal geometry and scaling as a language in the related theoretical, numerical and experimental investigations, it has been possible to get a deeper insight into previously intractable problems. Among many others, a better understanding of growth phenomena, turbulence, iterative functions, colloidal aggregation, biological pattern formation, stock markets and inhomogeneous materials has emerged through the application of such concepts as scale invariance, self-affinity and multifractality.The main challenge of the journal devoted exclusively to the above kinds of phenomena lies in its interdisciplinary nature; it is our commitment to bring together the most recent developments in these fields so that a fruitful interaction of various approaches and scientific views on complex spatial and temporal behaviors in both nature and society could take place.The journal "FRACTALS: Complex Geometry, Patterns, and Scaling in Nature and Society" will publish the following types of peer-reviewed articles.*Full-length research papers, *Short communications, *Reviews of both technical and pedagogical nature, and*Popular (educational, Scientific American type) articles.

Mathematics concerned with geoscientific problems, i.e., Geomathematics, is becoming increasingly important, as first, modern high speed computers and satellite based techniques are entering more and more all geodisciplines and secondly a growing public concern about the future of our planet exists, its climate, its environment, and about an expected shortage of natural resources . Efficient strategies of protection against threats of a changing earth and the exceptional situation of getting terrestrial, airborne as well as spaceborne data of better and better quality explain the strong need of new mathematical structures, tools, and methods.GEM – The International Journal on Geomathematics publishes peer-reviewed mathematical papers that deal with (i) modelling of the system Earth (geosphere, cryosphere, hydrosphere, atmosphere, biosphere) (ii) analytic, algebraic, and operator-theoretic methods and (iii) computational and numerical analysis methods necessary for the mathematical treatment of geoscientifically relevant problems. Book reviews are welcome.

Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development and evaluation of numerical models of the Earth System and its components. Manuscript types considered for peer-reviewed publication are:*Geoscientific model descriptions, from box models to GCMs;*Development and Technical papers, describing development such as new parameterisations or technical aspects of running models such as the reproducibility of results;*Papers describing new standard experiments for assessing model performance, or novel ways of comparing model results with observational data;*Model intercomparison descriptions, including experimental details and project protocols.*More details can be found in Manuscript Types and the Journal White Paper (compiled by the Executive Editors)."I believe that the time is ripe for significantly better documentation of programs, and that we can best achieve this by considering programs to be works of literature.".

Graphical Models is recognized internationally as a highly rated, top tier journal and is focused on the creation, geometric processing, animation, and visualization of graphical models and on their applications in engineering, science, culture, and entertainment. GMOD provides its readers with thoroughly reviewed and carefully selected papers that disseminate exciting innovations, that teach rigorous theoretical foundations, that propose robust and efficient solutions, or that describe ambitious systems or applications in a variety of topics.