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IEEE Transactions on Emerging Topics in Computational Intelligence

Issue 5 • Oct. 2017

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Displaying Results 1 - 9 of 9
  • Table of Contents

    Publication Year: 2017, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (109 KB)
    Freely Available from IEEE
  • IEEE Transactions on Emerging Topics in Computational Intelligence

    Publication Year: 2017, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (58 KB)
    Freely Available from IEEE
  • Dempster–Shafer Approach to Temporal Uncertainty

    Publication Year: 2017, Page(s):316 - 325
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (678 KB) | HTML iconHTML

    A novel approach to the modeling of uncertainty in temporal information is developed by the use of Dempster–Shafer (D–S) theory. Temporal uncertain events are first represented by the use of nested intervals, using an inner more certain interval and the outer less certain interval with associated D–S mass values for each interval. The concept of the elapsed time between tempor... View full abstract»

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  • A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots

    Publication Year: 2017, Page(s):326 - 338
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (961 KB) | HTML iconHTML

    Minimalist robots are functionally highly restricted but well suited for swarm robotic applications because of their low costs and small sizes. Connectivity maintenance and collision avoidance are challenging in minimalist swarm robotic systems due to a short communication range and the lack of positional and directional sensing. In this paper, we introduce a self-organizing control strategy for c... View full abstract»

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  • An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming

    Publication Year: 2017, Page(s):339 - 353
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1501 KB) | HTML iconHTML

    Automated design of job shop scheduling rules using genetic programming as a hyper-heuristic is an emerging topic that has become more and more popular in recent years. For evolving dispatching rules, feature selection is an important issue for deciding the terminal set of genetic programming. There can be a large number of features, whose importance/relevance varies from one to another. It has be... View full abstract»

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  • Rating Credits of Online Merchants Using Negative Ranks

    Publication Year: 2017, Page(s):354 - 365
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (595 KB) | HTML iconHTML

    Electronic commerce has become increasingly popular. Although it brings significant convenience to people's lives, a purchaser often hesitates to provide a negative rating to a merchant (or commodity) after a bad online shopping experience because his sensitive information (e.g., address, telephone number, and email address) would be available to the merchant. This makes the purchaser uncom... View full abstract»

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  • A Robust Ranking Method for Intuitionistic Multiplicative Sets Under Crisp, Interval Environments and Its Applications

    Publication Year: 2017, Page(s):366 - 374
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (182 KB) | HTML iconHTML

    In this paper, a new generalized improved score function for the intuitionistic multiplicative set (IMS) has been presented. IMS uses the unbalanced distributed scale instead of balanced one to describe the membership information. Under this environment and by integrating the idea of hesitation degree, a score function has been proposed for interval-valued as well as for crisp numbers. Lastly, a m... View full abstract»

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  • Denial of Service Attack on Tie-Line Bias Control in a Power System With PV Plant

    Publication Year: 2017, Page(s):375 - 390
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2986 KB) | HTML iconHTML Multimedia Media

    The use of synchrophasor networks consisting of phasor measurement units (PMUs) makes it possible to monitor, analyzes, and control the electric power grid in real-time. PMU measurements of frequencies, currents, voltages, and phase angles are transmitted to system control centers through synchrophasor networks. Delayed or missing measurements from PMUs in closed-loop applications could lead to po... View full abstract»

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  • Biogeography-Based Optimization: A 10-Year Review

    Publication Year: 2017, Page(s):391 - 407
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB) | HTML iconHTML

    Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by the migration of species between habitats. Almost 10 years have passed since the first BBO paper was published in 2008. BBO has successfully solved optimization problems in many different domains and has reached a relatively mature state. Considering the significant and expanding research on BBO and its applica... View full abstract»

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Aims & Scope

The IEEE Transactions on Emerging Topics in Computational Intelligence publishes original articles on emerging aspects of computational intelligence, including theory, applications, and surveys.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief:

Yew-Soon Ong
School of Computer Science & Engineering
Nanyang Technological University
N4-02a-20
50 Nanyang Avenue
Singapore 639798
http://www.ntu.edu.sg/home/asysong
Tel: (65) 6790-578
Fax: (65) 6791-941
Email: d-scse@ntu.edu.sg
Web: www.ntu.edu.sg/scse