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.

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.

Expert Systems With Applications is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The thrust of the journal is to publish papers dealing with the design, development, testing, implementation, and/or management of expert and intelligent systems, and also to provide practical guidelines in the development and management of these systems. The journal will publish papers in expert and intelligent systems technology and application in the areas of, but not limited to: finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, medicine, chemistry, human resources management, human capital, business, production management, archaeology, economics, energy, and defense. Papers in multi-agent systems, knowledge management, neural networks, knowledge discovery, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal.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

Faraday Discussions covers a variety of topics in rapidly developing areas of the physical sciences, with a focus on physical chemistry and its interfaces with other scientific disciplines. The journal publishes the papers presented and a record of the questions, discussion and debate that took place at the corresponding Faraday Discussions meeting; and provides an important record of current international knowledge and opinions in the relevant field. Each Faraday Discussion covers a topic in a rapidly developing area of chemistry, and will be of interest to academic and industrial chemists across all areas of the chemical sciences. Topical coverage includes: • Spectroscopy • Dynamics • Kinetics • Statistical mechanics • Thermodynamics • Electrochemistry • Catalysis • Surface science • Quantum mechanics • Quantum computing • Machine learning • Polymers and soft matter • Materials • Quantum Materials • Nanoscience • Energy • Surfaces/interfaces • Biophysical chemistry • Atmospheric Chemistry • Astrochemistry

Fuzzy Information and Engineering - An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work the journal focuses on applications: research papers, letters, and reviews are welcome. Technical topics within the scope include: 1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classificationc. Fuzzy information processing d. Hardware and software co-designe. Fuzzy computer f. Fuzzy database and data miningg. Fuzzy image processing and pattern recognition h. Fuzzy Information Granulation i. Knowledge acquisition and representation in Fuzzy Information 2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system 3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithmsc. Genetic algorithms d. Fuzzy approximation algorithmse. Computing with words and Quantum computation 4) Fuzzy Engineeringa. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling 5) Fuzzy Operations Researcha. Fuzzy evaluation and decision-making b. Fuzzy overall plans and scheduling c. Fuzzy prediction and forecasting d. Fuzzy countermeasuree. Fuzzy graph theory and network flow f. Fuzzy management in knowledge 6) Artificial Intelligence a. Fuzzy basis , system in knowledge b. Approximate reasoning and fuzzy reasoning machinec. Fuzzy neural networks d. Intelligent controls and robotse. Fuzzy automata f. Statistical learning theory and support vector machine 7) Othersa. Rough sets theory and its applications b. Fuzzy grey systemsc. Fuzzy education d. Fuzzy linguistics e. Fuzzy biology Selected papers from relevant conferences are also welcome. The research and practice of fuzzy information and fuzzy engineering for special interest groups and from special geographic locations will be accommodated by publishing special issues with the help of guest editors. Conference organizers are invited to contact the Editor-in-Chief ifiae@gzhu.edu.cn for further information.

Fuzzy Optimization and Decision Making has been accepted for Science Citation Index Expanded and Current Contents/Engineering Computing and Technology and will first appear with an Impact Factor in the 2009 Journal Citation Reports (JCR), published in June 2010. Fuzzy Optimization and Decision Making covers all aspects of the theory and practice of fuzzy optimization and decision making in the presence of uncertainty. It examines theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems. The journal publishes papers in the following areas: modeling, theoretical developments, algorithmic developments, systems development and applications. This journal promotes research and the development of fuzzy technology and soft-computing methodologies to enhance our ability to address complicated optimization and decision making problems involving non-probabilistic uncertainty. It helps foster the understanding, development, and practice of fuzzy te

Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.

Methods for artificial evolution of active components are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution. Genetic Programming and Evolvable Machines reports innovative and significant progress in automatic evolution of software and hardware. It features both theoretical and application papers and covers hardware implementations, artificial life, molecular computing and emergent computation techniques. In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.

Green Chemistry provides a unique forum for the publication of innovative research on the development of alternative green and sustainable technologies. Based on the, but not limited to, the twelve principles of green chemistry defined by Anastas and Warner (Green Chemistry: Theory and Practice, P T Anastas and J C Warner, Oxford University Press, Oxford, 1998). Green chemistry is, by definition, a continuously-evolving frontier. Therefore, the inclusion of a particular material or technology does not, of itself, guarantee that a paper is suitable for the journal. To be suitable, the novel advance should have the potential for reduced environmental impact relative to the state of the art. Green Chemistry does not normally deal with research associated with 'end-of-pipe' or remediation issues.

The growth in the information and communication technology (ICT) sector has exploded over the past 20 years. This technology advancement enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development. The high processing capability and the ubiquitous connectivity of recent communication devices allow telecommunication technology to be converged with other industry sectors, such as healthcare, automobile, transportation, entertainment, building architecture, and energy. This convergence in ICT opens up great opportunities for new services and applications, which can lead to economic growth with a wide spectrum of industrial areas. ICT Express, published by the Korean Institute of Communications and Information Sciences (KICS), is a quarterly archived open access journal providing researchers in the ICT field an opportunity to share their newest research results in a timely manner. Each submission will be reviewed by experts in the field. Once accepted, the provisional version will be published online within six weeks after the submission, and the final version will be published online within eight weeks. ICT Express covers the field of ICT convergence, platform technologies, communication networks, and device technologies. We invite short-length (up to 4 pages in double columns) high-quality, original letter articles that explicitly address the unique technical challenges encountered in the convergence of information and communication technology.

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS). Additionally, CIM serves as a media of communications between the governing body and its membership of IEEE/CIS. Authors are encouraged to submit papers on applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research.

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.

The IEEE Robotics and Automation Letters (RA-L) publishes peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.

The IEEE Transactions on Affective Computing is a cross-disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. The journal publishes original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work are considered for publication when they propose a new viewpoint on the history and the perspective on this domain. The journal covers but is not limited to the following topics::

• Sensing & analysis: Algorithms and features for the recognition of affective state from face and body gestures
• Analysis of text and spoken language for emotion recognition
• Analysis of prosody and voice quality of affective speech
• Recognition of auditory and visual affect bursts
• Recognition of affective state from central (e.g. fMRI, EEG) and peripheral (e.g. GSR) physiological measures
• Methods for multi-modal recognition of affective state
• Recognition of group emotion
• Methods of data collection with respect to psychological issues as mood induction and elicitation or technical methodology as motion capturing
• Tools and methods of annotation for provision of emotional corpora. (Cyber) psychology & behavior: Clarification of concepts related to ‘affective computing’ (e.g., emotion, mood, personality, attitude) in ways that facilitate their use in computing
• Computational models of human emotion processes (e.g., decision-making models that account for the influence of emotion; predictive models of user emotional state)
• Studies on cross-cultural, group and cross-language differences in emotional expression
• Contributions to standards and markup language for affective computing. Behavior Generation & User Interaction: Computational models of visual, acoustic and textual emotional expression for synthetic and robotic agents
• Models of verbal and nonverbal expression of various forms of affect that facilitate machine implementation
• Methods to adapt interaction with technology to the affective state of users
• Computational methods for influencing the emotional state of people
• New methods for defining and evaluating the usability of affective systems and the role of affect in usability
• Methods of emotional profiling and adaptation in mid- to long-term interaction
• Application of affective computing including education, health care, entertainment, customer service, design, vehicle operation, social agents/robotics, affective ambient intelligence, customer experience measurement, multimedia retrieval, surveillance systems, biometrics, music retrieval and generation