IEEE Computational Intelligence Magazine

Issue 3 • Aug. 2014

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Displaying Results 1 - 24 of 24
  • [Front cover]

    Publication Year: 2014, Page(s): C1
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  • IEEE SSCI'14

    Publication Year: 2014, Page(s): C2
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  • [Table of contents]

    Publication Year: 2014, Page(s): 1
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  • CIM Editorial Board

    Publication Year: 2014, Page(s): 2
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  • Big Data Era [Editor's Remarks]

    Publication Year: 2014, Page(s):2 - 11
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  • [President's Message]

    Publication Year: 2014, Page(s): 3
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  • CIS Society Officers

    Publication Year: 2014, Page(s): 3
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  • Improvements Made to IEEE Fellow Nomination Process [Society Briefs]

    Publication Year: 2014, Page(s): 4
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  • IEEE CIG 2015

    Publication Year: 2014, Page(s): 5
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2014, Page(s):6 - 11
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  • IEEE CIFEr 2014 - Leading Forum on Computational Finance and Economics Research in Academia and Industry [Conference Reports]

    Publication Year: 2014, Page(s):8 - 10
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  • IEEE CIVEMSA 2014 - Computational Intelligence and Virtual Environments for Measurement Systems and Applications [Conference Reports]

    Publication Year: 2014, Page(s):10 - 11
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  • Computational Intelligence in Big Data [Guest Editorial]

    Publication Year: 2014, Page(s):12 - 13
    Cited by:  Papers (9)
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  • Call for Papers for Journal Special Issues

    Publication Year: 2014, Page(s): 13
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  • The Emerging "Big Dimensionality"

    Publication Year: 2014, Page(s):14 - 26
    Cited by:  Papers (58)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4039 KB) | HTML iconHTML

    The world continues to generate quintillion bytes of data daily, leading to the pressing needs for new efforts in dealing with the grand challenges brought by Big Data. Today, there is a growing consensus among the computational intelligence communities that data volume presents an immediate challenge pertaining to the scalability issue. However, when addressing volume in Big Data analytics, resea... View full abstract»

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  • Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases

    Publication Year: 2014, Page(s):27 - 39
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2175 KB) | HTML iconHTML

    Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream ... View full abstract»

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  • Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem

    Publication Year: 2014, Page(s):40 - 52
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1769 KB) | HTML iconHTML

    We introduce an experimentation procedure for evaluating and comparing optimization algorithms based on the Traveling Salesman Problem (TSP). We argue that end-of-run results alone do not give sufficient information about an algorithm's performance, so our approach analyzes the algorithm's progress over time. Comparisons of performance curves in diagrams can be formalized by comparing the areas un... View full abstract»

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  • IEEE CEC 2015

    Publication Year: 2014, Page(s): 53
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  • The Next Technological Wave: Intelligence Technology for Intelligence Super Agent [Research Frontier]

    Publication Year: 2014, Page(s):54 - 64
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2562 KB) | HTML iconHTML

    Since the industrial revolution, technological evolution has been the defining aspect of societal progress. Among all the technologies that have emerged over the years, information technology is the one that truly revolutionized the modern lifestyle. To take information technology beyond information mining and communication, intelligence technology (InT) is required to manipulate the information a... View full abstract»

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  • IJCNN 2015

    Publication Year: 2014, Page(s): 65
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  • Extracting Urban Occupational Plans Using Cultural Algorithms [Application Notes]

    Publication Year: 2014, Page(s):66 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4138 KB) | HTML iconHTML

    Cultural Algorithms can be used to evolve structural functional models of urban centers. The population of the Cultural Algorithm is a set of urban planning agents, each of whom competes to build up a high level model of the site from a set of building blocks. These building blocks are produced through the use of techniques from Data Mining and Complex Systems. The best model is compared with exis... View full abstract»

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  • Intelligence for Embedded Systems: A Methodological Approach [Book Review]

    Publication Year: 2014, Page(s):85 - 87
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  • [Conference Calendar]

    Publication Year: 2014, Page(s): 88
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  • IEEE WCCI 2016

    Publication Year: 2014, Page(s): C3
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Aims & Scope

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).

Full Aims & Scope