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IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) is a peer-reviewed journal published by IEEE, covering Neural Networks and Applications, Fuzzy Logic and Control Systems, Face and Expression Recognition.
| 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 Transactions on Systems Man and Cybernetics Part B (Cybernetics), vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) style. No sign-up. |
| Publishes research in | Neural Networks and Applications Fuzzy Logic and Control Systems Face and Expression Recognition Adaptive Control of Nonlinear Systems Metaheuristic Optimization Algorithms Research |
| ISSN | 1083-4419 |
| h-index | 203 |
| i10-index | 1,858 |
| Total citations | 200,280 |
| 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. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
An analogy with the way ant colonies function has suggested the definition of a new computational paradigm, which we call ant system (AS). We propose it as a viable new approach to stochastic combinatorial optimization. The main characteristics of this model are positive feedback, distributed computation, and the use of a constructive greedy heuristic. Positive…
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The conventional LS-SVM and PSVM cannot be used in regression and multiclass classification applications directly, although variants of LS-SVM and PSVM have been proposed to handle such cases.…
Undersampling is a popular method in dealing with class-imbalance problems, which uses only a subset of the majority class and thus is very efficient. The main deficiency is that many majority class examples are ignored. We propose two algorithms to overcome this deficiency. EasyEnsemble samples several subsets from the majority class, trains a learner using…
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps. First, by evaluating the population distribution and particle fitness, a real-time evolutionary…
In this paper, we propose a novel hybrid genetic algorithm (GA) that finds a globally optimal partition of a given data into a specified number of clusters. GA's used earlier in clustering employ either an expensive crossover operator to generate valid child chromosomes from parent chromosomes or a costly fitness function or both. To circumvent…
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