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International Journal of Swarm Intelligence Research (IJSIR)

International Journal of Swarm Intelligence Research (IJSIR)
Editor(s)-in-Chief: Yuhui Shi (Southern University of Science and Technology (SUSTech), China)
Published: Continuous Volume
Copyright: ©2010
DOI: 10.4018/IJSIR
ISSN: 1947-9263
EISSN: 1947-9271

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Description

The International Journal of Swarm Intelligence Research (IJSIR) serves as a forum for facilitating and enhancing the information sharing among swarm intelligence researchers in the field, ranging from algorithm developments to real-world applications. Targeting at researchers, academicians, students, and engineers, this journal provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications.



Contents

Volume 15, Issue 1
Volume 14, Issue 3
Volume 14, Issue 2
Volume 14, Issue 1
Volume 13, Issue 4
Volume 13, Issue 3
Volume 13, Issue 2
Volume 13, Issue 1
Volume 12, Issue 4
Volume 12, Issue 3
Volume 12, Issue 2
Volume 12, Issue 1
Volume 11, Issue 4
Volume 11, Issue 3
Volume 11, Issue 2
Volume 11, Issue 1
Volume 10, Issue 4
Volume 10, Issue 3
Volume 10, Issue 2
Volume 10, Issue 1
Volume 9, Issue 4
Volume 9, Issue 3
Volume 9, Issue 2
Volume 9, Issue 1
Volume 8, Issue 4
Volume 8, Issue 3
Volume 8, Issue 2
Volume 8, Issue 1
Volume 7, Issue 4
Volume 7, Issue 3
Volume 7, Issue 2
Volume 7, Issue 1
Volume 6, Issue 4
Volume 6, Issue 3
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 4
Volume 4, Issue 3
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
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Mission

The mission of the International Journal of Swarm Intelligence Research (IJSIR) is to become a leading international and well-referred journal in swarm intelligence, nature-inspired optimization algorithms, and their applications. This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among researchers in swarm intelligence research areas ranging from algorithm developments to real-world applications.

Journal Indices

Bacon's Media Directory
The Standard Periodical Directory
Ulrich's Periodicals Directory
Web of Science Emerging Sources Citation Index (ESCI)Web of Science Emerging Sources Citation Index (ESCI)
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Testimonials and Reviews

The International Journal of Swarm Intelligence Research (IJSIR) serves as a vehicle to facilitate and promote the knowledge sharing among swarm intelligence researchers in the field, ranging from algorithm developments to real-world applications. As a new journal in the field of evolutionary computation, IJSIR has built its reputation from its first two years of existence. Papers published are all well focused with novelty to contribute. The Editor-in-Chief assisted by the editorial board has done a marvelous job in uplifting the highest standard in every aspect of journal publication.
- Dr. Gary Yen, Oklahoma State University, USA and President of the IEEE Computational Intelligence Society

By publishing research papers of a constantly high standard,   IJSIR has established itself as a leading forum in the area of computational intelligence.  It is a must to read for those who want to follow recent developments in swarm intelligence.
- Dr. Qingfu Zhang, University of Essex, UK

Since its inception, the International Journal of Swarm Intelligence Research (IJSIR) has managed to position itself as a leading publication in computational intelligence research. IJSIR is, indeed, a very valuable resource for obtaining up-to-date information on the recent developments in nature-inspired optimization for my research group and for myself. Its reading is highly recommended to anyone interested in doing research in this area.
- Professor Carlos A. Coello Coello, Depto. de Computación, CINVESTAV-IPN, México.

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