IEEE Transactions on Evolutionary Computation
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Aims and Scope
IEEE Transactions on Evolutionary Computation is a bimonthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined. The editor-in-chief is Kay Chen Tan (National University of Singapore). According to the Journal Citation Reports, the journal has a 2017 impact factor of 8.124. Less
Key Metrics
Journal Specifications
- PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- LanguageEnglish
- FrequencyBi-monthly
- LanguageEnglish
- FrequencyBi-monthly
- Publication Start Year1997
- Publisher URL
Topics Covered
Year-wise Publication
- 5Y
- 10Y
FAQs
Since when has IEEE Transactions on Evolutionary Computation been publishing? 
The IEEE Transactions on Evolutionary Computation has been publishing since 1997 till date.
How frequently is the IEEE Transactions on Evolutionary Computation published?
IEEE Transactions on Evolutionary Computation is published Bi-monthly.
Who is the publisher of IEEE Transactions on Evolutionary Computation?
The publisher of IEEE Transactions on Evolutionary Computation is IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC.
Where can I find a journal's aims and scope of IEEE Transactions on Evolutionary Computation?
For the IEEE Transactions on Evolutionary Computation's Aims and Scope, please refer to the section above on the page.
How can I view the journal metrics of IEEE Transactions on Evolutionary Computation on editage?
For the IEEE Transactions on Evolutionary Computation metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of IEEE Transactions on Evolutionary Computation?
The eISSN number is 1941-0026 and pISSN number is 1089-778X for IEEE Transactions on Evolutionary Computation.
What is the focus of this journal?
The journal covers a wide range of topics inlcuding Evolutionary algorithm, Multi-objective optimization, Optimization problem, Covariance matrix, Evolution strategy, Optimization algorithm, Genetic programming, Differential evolution, Anomaly detection, Incremental learning, Inverted generational distance, Partial evaluation, Parallel evolution, Protein structure prediction, Neural network learning, Decision variables, Feature selection, Reference vector, Nadir point, Statistical model.
Why is it important to find the right journal for my research?
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career?
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only?
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.