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Swarm and Evolutionary Computation

ISSN: 2210-6502eISSN: 2210-6510

Introduction:To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.About the journal:Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.Topics of Interest:Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.Applications:Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software.

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Symmetry

eISSN: 2073-8994
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Symmetry (ISSN 2073-8994), an international and interdisciplinary scientific journal, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided, so that results can be reproduced. There are in addition three unique features: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Comments on any related papers published in this journal and other journals can be published as short letters. Electronic files regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, will be deposited as supplementary material.

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Symmetry, Integrability and Geometry: Methods and Applications

ISSN: 1815-0659eISSN: 1815-0659
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SIGMA is a refereed online open access journal for publication of papers in the following areas:*Geometrical methods in mathematical physics*Lie theory and differential equations*Classical and quantum integrable systems*Dynamical systems and chaos*Exactly and quasi-exactly solvable models*Lie groups and algebras, representation theory*Orthogonal polynomials and special functions*Quantum algebras, quantum groups and noncommutative geometry*Supersymmetry and supergravity, strings and branes*Cosmology and quantum gravity.

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Synthesis Lectures on Mathematics and Statistics

ISSN: 1938-1743eISSN: 1938-1751

Systems Science and Control Engineering

eISSN: 2164-2583
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Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering.

The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to:


·        artificial intelligence
·        complex systems
·        complex networks
·        control theory
·        control applications
·        cybernetics
·        dynamical systems theory
·        operations research
·        systems biology
·        systems dynamics
·        systems ecology
·        systems engineering
·        systems psychology
·        systems theory


Proposals for special issues are encouraged, and should be discussed with the Executive Editor.

All submitted manuscripts are subject to initial appraisal by the Executive Editor, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is double blind and submission is online via ScholarOne Manuscripts.

As part of the  Taylor & Francis Open Access programme authors receive immediate, universal access to articles; rapid online publication; flexible licensing options; high-quality production values; fair pricing and discounts and waivers for authors in low-income countries.

To support Open Access, accepted articles will be subject to an article publishing fee of $750 (GBP £470, EUR €625).

Queries regarding submissions can be made by contacting the Executive Editor, whose decision is final.

Taylor & Francis is a member of the Committee of Publications Ethics (COPE) . Taylor & Francis is committed to peer review integrity and upholding the highest standards of review in our journals. To help us maintain these high standards, we provide guidelines for ethical publishing. Click  here for more details

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São Paulo Journal of Mathematical Sciences

ISSN: 1982-6907eISSN: 2316-9028
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TBILISI MATHEMATICAL JOURNAL

ISSN: 1875-158XeISSN: 1512-0139

TEST

ISSN: 1133-0686eISSN: 1863-8260

TEST is an international journal of statistics and probability, sponsored by the Spanish Society of Statistics and Operations Research. Its scope includes both established and emerging areas, and English is the journal’s official language.TEST focuses on papers that offer original theoretical contributions and that have demonstrated or potential value for applications. Methodological content is crucial for publication in the journal as is detailed coverage of practical implications.In addition to the regular contributions, each issue of TEST features an invited paper covering a current and challenging topic authored by an internationally recognized statistician. One volume is published annually in four issues.Officially cited as: TestImpact factors
2009: 1.241 ( 34 of 100 )
2010: 1.036 ( 45 of 110 )
2011: 1.125 ( 42 of 116 )
2012: 1.271 ( 36 of 117 )

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TOP

ISSN: 1134-5764eISSN: 1863-8279

TOP is the official journal of the Spanish Society of Statistics and Operations Research. International in focus, the journal publishes original findings in operations research and management sciences. Contributions investigate either mathematical issues or applications to real-world decision-making problems. The topics covered are continuous and discrete optimization, games, decision theory, logistics, production planning, stochastic models, simulation, and OR applications.Officially cited as: Top

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TRUDY INSTITUTA MATEMATIKI I MEKHANIKI URO RAN

ISSN: 0134-4889eISSN: 0134-4889

TSUKUBA JOURNAL OF MATHEMATICS

ISSN: 0387-4982eISSN: 2423-821X

TWMS JOURNAL OF PURE AND APPLIED MATHEMATICS

ISSN: 2076-2585eISSN: 2219-1259

TWMS Journal of Applied and Engineering Mathematics

ISSN: 2146-1147eISSN: 2146-1147
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Taiwanese Journal of Mathematics

ISSN: 1027-5487

Tamsui Oxford Journal of Information and Mathematical Sciences

ISSN: 2222-4424eISSN: 2222-4432

Tatra Mountains Mathematical Publications

ISSN: 1210-3195eISSN: 1338-9750
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Teaching Mathematics and its Applications: An International Journal of the IMA

ISSN: 0268-3679eISSN: 1471-6976

The journal provides a forum for the exchange of ideas and experiences which contribute to the improvement of mathematics teaching and learning for students from upper secondary/high school level through to university first degree level. A distinctive feature of the journal is its emphasis on the applications of mathematics and mathematical modelling within the context of mathematics education world-wide. The journal's readership consists of mathematics teachers, students, researchers and those concerned with curriculum development and assessment, indeed anyone concerned about the education of users of mathematics.

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Teaching Statistics: An International Journal for Statistics and Data Science Teaching

ISSN: 0141-982XeISSN: 1467-9639
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Technology, Knowledge and Learning

ISSN: 2211-1662eISSN: 2211-1670
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Technometrics

ISSN: 0040-1706eISSN: 1537-2723

Journal of Statistics for the Physical, Chemical, and Engineering SciencesPublished Quarterly by the American Society for Quality and the American Statistical AssociationSince its inception in 1959, the mission of Technometrics has been to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences.Technometrics publishes papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's objective. Since 1959, the methods presented in the journal have reflected changes in the discipline.In recent years, some of these changes have been associated with improved computer technology and availability, resulting in highly flexible and computer-intensive approaches to scientific data analysis. (See for example the lead article in the August 1998 issue by Richard A. Becker, Linda A. Clark, and Diane Lambert entitled "Events Defined By Duration and Severity, with an Application to Network Reliability," with discussion by Jeff Robinson and Josef Schmee.) With the emergence of massive computing and data storage capabilities, statistical approaches to screening, flexible modeling, pattern characterization, and change detection that were infeasible 20 years ago are now viable. There have also been shifts in basic attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how some of our important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection).Many of the problems in industry today concern the analysis of huge data sets that lead to improved quality or better understanding of the manufacturing or development process. The journal would like to encourage submissions that address problems of this nature and that take advantage of modern resources.Technometrics is reviewed in Mathematical Reviews, abstracted in Applied Science & Technology Abstracts and abstracted and indexed in The Engineering Index, COMPENDEX, and Applied Science & Technology Index.

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