Journal Guide

g the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature. Particular emphasis is placed on evolutionary models of computation such as genetic algorithms (GA), evolutionary strategies (ES), classifier systems (CS), evolutionary programming (EP), genetic programming (GP), and related fields such as swarm intelligence (Ant Colony Optimization and Particle Swarm Optimization), and other evolutionary computation techniques.

Evolutionary Intelligence is an international journal devoted to the publication and dissemination of theoretical and practical aspects of the use of population-based search for artificial intelligence. Techniques of interest include evolving rule-based systems, evolving artificial neural networks, evolving fuzzy systems, evolving Bayesian and statistical approaches, artificial immune systems, and hybrid systems which combine evolutionary computation with other A.I. techniques in general. The journal contains research papers, review articles, short notes and letters to the editor. Areas of interest include, but are not limited to, memory, vision, planning, knowledge representation and construction, robotics, neuroscience, language, development and learning, and all aspects of cognitive science. Papers describing applications in areas such as data mining, adaptive control, medical and bio-informatics, games and multi-media, agent-based computing and modelling, complex systems, and chemical and biological systems are also welcomed. The journal intends to capture and archive the advancement in the field of evolutionary intelligence in a timely manner and in one place.

'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.

Aims & ScopeWelcome to Experimental Mathematics, a journal devoted to experimental aspects of mathematics research. It publishes original papers featuring formal results inspired by experimentation, conjectures suggested by experiments, and data supporting significant hypotheses. Experimental Mathematics, refereed in the traditional manner, is led by a first-rate editorial board. A high standard of exposition is maintained, in order to reach as many readers as possible.

Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, their application and evaluation, and the construction of systems - including expert systems - based thereon. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.

EXPLORE: The Journal of Science & Healing addresses the scientific principles behind, and applications of, evidence-based healing practices from a wide variety of sources, including conventional, alternative, and cross-cultural medicine. It is an interdisciplinary journal that explores the healing arts, consciousness, spirituality, eco-environmental issues, and basic science as all these fields relate to health.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

Our aim is to publish papers of interest to a wide mathematical audience. Our main interest is in expository articles that make high-level research results more widely accessible. In general, material submitted should be at least at the graduate level.Main articles must be written in such a way that a graduate-level research student interested in the topic of the paper can read them profitably. When the topic is quite specialized, or the main focus is a narrow research result, the paper is probably not appropriate for this journal. Most original research articles are not suitable for this journal, unless they have particularly broad appeal.Mathematical notes can be more focused than main articles. These should not simply be short research articles, but should address a mathematical question with reasonably broad appeal. Elementary solutions of elementary problems are typically not appropriate. Neither are overly technical papers, which should best be submitted to a specialized research journal.Clarity of exposition, accuracy of details and the relevance and interest of the subject matter will be the decisive factors in our acceptance of an article for publication. Submitted papers are subject to a quick overview before entering into a more detailed review process. All published papers have been refereed.

Editor-in-Chief: Jürg Hüsler, University of Bern Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics, and other fields. It also presents authoritative reviews and case studies of theoretical advances and of extreme value methods and problems in important applied areas. Previously scattered across more general probability journals, statistical extremes research now has a home with this journal. As a result, Extremes advances and accelerates research and applications by providing a unified forum for the best papers in the field. Applied scientists find comprehensive and up-to-date coverage of theoretical developments and specialists find authoritative discussions of urgent applied problems. Finally authors find the best medium for the dissemination and use of their results.

Finance and Stochastics presents research in all areas of finance based on stochastic methods as well as on specific topics in mathematics motivated by the analysis of problems in finance (in particular probability theory, statistics and stochastic analysis). The journal also publishes surveys on financial topics of general interest if they clearly picture and illuminate the basic ideas and techniques at work, the interrelationship of different approaches and the central questions which remain open. In addition, Finance and Stochastics features special issues devoted to specific topics in rapidly growing research areas. The journal serves as an ideal publication platform for both theoretical and applied financial economists using advanced stochastic methods and researchers in stochastics motivated by and interested in applications in finance and insurance.Officially cited as: Finance Stoch

All http://ees.elsevier.com/finel/submissions to FINEL will be peer reviewed, and must have archival value to be suitable for publication. Reflecting the aforementioned emphasis on solution of practical problems, numerical demonstration of proposed methodologies will generally be considered a necessary ingredient for papers appearing in FINEL. Conversely, applications of existing finite element techniques to widely studied problems will typically not be favorably considered for publication, except where such presentations are particularly novel or enlightening, either with respect to the results obtained or the method of application used.

The journal encompasses any field where numerical solution procedures for initial/boundary value problems are needed to meet design and analysis needs. Although the following list is not exhaustive, contributions are sought in structural mechanics, geomechanics, mechanical engineering, mechanics of materials, fluid mechanics, thermal sciences, hydrology, chemical engineering, biomechanics, electrical engineering, aero/astro engineering, and environmental engineering and science. In addition to contributions focused directly on numerical methodologies, submissions dealing with computer-aided engineering methods, parallel computing, optimal design strategies, mesh generation and post processing, code validation, experimental verification, and visualization are also solicited.

Submit your Article online:
We are pleased to announce that a new electronic submission and handling system, EES, has been implemented for Finite Elements in Analylsis and Design. EES (the Elsevier Editorial System) is a web-based system with full online submission, review and status update capabilities. EES allows you to upload files directly from your computer. This is part of our ongoing efforts to improve the efficiency and accuracy of our editorial procedures, and the quality and timeliness of the manuscripts published. We strongly encourage all authors to use EES at the following URL when submitting papers to FINEL. The Elsevier Editorial System can be accessed at http://ees.elsevier.com/finel (First time users will need to register.)

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For cohesion, and because so many applications rely on various theoretical properties of finite fields, it is essential that there be a core of high-quality papers on theoretical aspects. In addition, since much of the vitality of the area comes from computational problems, the journal publishes papers on computational aspects of finite fields as well as on algorithms and complexity of finite field-related methods.

The journal also publishes papers in various applications including, but not limited to, algebraic coding theory, cryptology, combinatorial design theory, pseudorandom number generation, and linear recurring sequences. There are other areas of application to be included, but the important point is that finite fields play a nontrivial role in the theory, application, or algorithm.

Finite Fields and Their Applications is published four times per year and maintains very strict refereeing standards, accepting only those papers which receive excellent referee reports.

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.

Fluctuation and Noise Letters (FNL) is unique. It is the only specialist journal for fluctuations and noise, and it covers that topic throughout the whole of science in a completely interdisciplinary way. High standards of refereeing and editorial judgment are guaranteed by the selection of Editors from among the leading scientists of the field.FNL places equal emphasis on both fundamental and applied science and the name "Letters" is to indicate speed of publication, rather than a limitation on the lengths of papers. The journal has recently moved to on-line submission and immediate on-line publication of accepted papers.FNL is interested in interdisciplinary articles on random fluctuations, quite generally. For example: noise enhanced phenomena including stochastic resonance; 1/f noise; shot noise; fluctuation-dissipation; cardiovascular dynamics; ion channels; single molecules; neural systems; quantum fluctuations; quantum computation; classical and quantum information; statistical physics; degradation and aging phenomena; percolation systems; fluctuations in social systems; traffic; the stockmarket; environment and climate; etc.FNL also encourages open public debate. Scientists with critical views about important results published in high-profile journals and magazines are encouraged to submit a comment or note to FNL. These papers are published with an accelerated editorial procedure to facilitate lively debate in the field.

Fluid Phase Equilibria publishes high quality papers dealing with experimental,theoretical and applied research related to equilibrium and transport properties of fluid and solid phases.The fluid phase properties of interest include:PVT, enthalpies, heat capacities, Joule-Thomson coefficients, Gibbs and Helmholtz energies, chemical potentials, activity and fugacity coefficients, critical properties, chemical equilibria, multiphase equilibria and interfacial properties, thermal conductivity, viscosity and rheological properties, and diffusion coefficients.A wide range of pure and mixed fluids may be considered:Non-polar and polar small organic and inorganic molecules, ions, metals, polymers, surfactants, ionic liquids, gas hydrates, complex and biological molecules (e.g. proteins). Fluids should be well-characterized with respect to composition, or be specified with sufficient information for the experimental results to be reproduced (e.g. analysed by up-to-date techniques, or mixtures that can be obtained through a well-established published protocol).Experimental measurements:Unless they are accompanied by contemporary or new theory, papers will be refused if they report experimental data only at pressures and temperatures close to ambient on any of the following liquid or liquid mixture properties: viscosity; density; speed of sound; refractive index; surface tension. Similarly, papers will be refused if they only report phase equilibrium compositions, such as solubilities, at conditions near ambient without theoretical analysis and interpretation.All data reports and analyses will be examined by NIST for consistency with the requirements posted at http://trc.nist.gov/FPE-Support.htmlTheoretical and modeling studies:Theoretical techniques may be chemical thermodynamics, applied statistical mechanics, molecular physics, molecular simulation, quantum chemistry, applied mathematics. Papers with new models, or modifications of available models, are expected to show comparisons for accuracy and predictive ability with applicable data and contemporary existing models.All modeling of properties and phenomena based on artificial neural networks, machine learning algorithms, and similar information processing approaches will only be considered when comparisons of accuracy are made with existing physically-based models or if no thermodynamic models are available. Further, the work must describe the procedure well enough that readers may be able to independently reproduce the results.