Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization. Ant…
IEEE Computational Intelligence Magazine Template
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About the IEEE Computational Intelligence Magazine format
IEEE Computational Intelligence Magazine is a peer-reviewed journal published by IEEE, covering Human auditory perception and evaluation, Diverse Scientific and Economic Studies, Educational Robotics and Engineering. Over its lifetime it has published 1,859 papers, which have received 51,911 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Computational Intelligence Magazine, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Computational Intelligence Magazine style. No sign-up. |
| Abbreviation (ISO-4) | CIM |
| Publishes research in | Human auditory perception and evaluation Diverse Scientific and Economic Studies Educational Robotics and Engineering Big Data and Digital Economy Evolutionary Algorithms and Applications |
| ISSN | 1556-603X |
| Citation impact (2-yr) | 4.13 |
| h-index | 94 |
| i10-index | 390 |
| Top institutions publishing here | Nanyang Technological University |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Computational Intelligence Magazine per year
Citation impact of IEEE Computational Intelligence Magazine by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IEEE Computational Intelligence Magazine
Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the context of natural language processing (NLP). In this paper, we review significant deep learning related models and methods that have been employed…
Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and comprehensive software platform for researchers to properly benchmark existing algorithms and for practitioners to apply selected algorithms to solve their real-world problems. The demand of such a common tool becomes…
The introduction of ant colony optimization (ACO) and to survey its most notable applications are discussed. Ant colony optimization takes inspiration from the forging behavior of some ant species. These ants deposit Pheromone on the ground in order to mark some favorable path that should be followed by other members of the colony. The model…