electromechanical actuators
Advances in Fuzzy Systems is an international journal which aims to provide a forum for original research articles in the theory and applications of fuzzy subsets and systems. The goal of the journal is to help promote the advances in the development and practice of fuzzy system technologies in the areas of engineering, management, medical, economic, environmental, and societal problems. Advances in Fuzzy Systems is intended to provide a rapid communication of fully refereed papers through the open access publication model, which will enable the journal to reach a far greater audience than traditional subscription-based journals.The areas covered by the journal include but are not limited to: Fuzzy subsets and systems theory and applicationsApproximate reasoningDecision theory and optimizationIntelligent controlNeural-fuzzy systemsFuzzy information theorySoft computing and uncertainty modelingFuzzy logic for machine intelligenceDatabases, business, finance and management, medical applications, expert Systems, image processing and pattern recognition and other such areas of interest.
This journal is devoted to Applied Mathematics in its broadest sense with an emphasis on the analysis and optimization of systems governed by various classes of differential equations, in particular partial differential equations (PDEs) both stochastic and deterministic. Optimization includes mathematical control theory and dynamic games.
Techniques of interest encompass calculus of variations, homogenization, weak convergence, numerical approximation, and regularization, along with modern methods of linear and non-linear analysis as pertinent to the study of PDEs and optimization theory.
Computational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical and combinatorial aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems.Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.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
This journal publishes research on the analysis and development of computational algorithms and modeling technology for optimization. It examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms. Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization. It also covers linear programming, complexity theory, automatic differentiation, approximations and error analysis, parametric programming and sensitivity analysis, management science, and more. This peer-reviewed journal features both research and tutorial papers that provide theoretical analysis, along with carefully designed computational experiments.Officially cited as: Comput Optim Appl
The Control Theory and Technology publishes high-quality papers on original, theoretical and experimental research and development in the area of systems and control, including all aspects of control theory and its applications. Its function is to provide a forum for domestic, as well as international, scientists and engineers in this field to exchange their knowledge and experiences. Articles for submission may be survey papers, or reviews on well established or newly emerging research topics, techniques, etc.; or regular papers which describe new well developed theoretical results or applications; or brief papers which present new techniques, concepts, perspectives, etc.
Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.
ESAIM: COCV publishes rapidly and efficiently papers and surveys in the areas of control, optimisation and calculus of variations. Articles may be theoretical,computational, or both, and they will cover contemporary subjects with impact on forefront technology, biosciences, materials science, computer vision, continuum physics, decision sciences and other allied disciplines.
Energies is an open access journal of related scientific research, technology development and policy and management studies. It publishes reviews, regular research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
This journal continues to serve the large technical community concerned with quantitative and computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use many of the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process. The engineering dimension is vital. Engineering Optimization aims to serve all disciplines within the engineering community. Relevance to problems of engineering, planning, design, construction and operation is a key element in all published papers. Papers on both research aspects and practical industrial implementations are welcomed. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.
'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.
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.