Editor-in-Chief: Yuhui Shi (Southern University of Science and Technology (SUSTech), China)

Indexed In: Web of Science Emerging Sources Citation Index (ESCI), SCOPUS, INSPEC and 9 more indices

Published: Quarterly |Established: 2010

ISSN: 1947-9263|EISSN: 1947-9271|DOI: 10.4018/IJSIR

International Journal of Swarm Intelligence Research (IJSIR)

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.

Topics Covered

  • Ant colony optimization
  • Applications in bioengineering
  • Applications in bioinformatics
  • Applications in business
  • Applications in control systems
  • Applications in data mining and data clustering
  • Applications in decision making
  • Applications in distributed computing
  • Applications in evolvable hardware
  • Applications in finance and economics
  • Applications in games
  • Applications in graph partitioning
  • Applications in information security
  • Applications in machine learning
  • Applications in planning and operations in industrial systems, transportation systems, and other systems
  • Applications in power system

  Applications in supply-chain management

  • networks
  • Artificial Immune System
  • Brain storm optimization algorithms
  • Constrained optimization
  • Culture algorithm
  • Developmental swarm intelligence
  • Differential Evolution
  • Fireworks algorithm
  • Foraging algorithm
  • Large scale optimization problems
  • Modeling and analysis of biological collective systems such as social insects colonies, school, and flocking vertebrates
  • Multi-objective optimization
  • Optimization in dynamic and uncertain environment
  • Other nature-inspired optimization algorithms
  • Particle Swarm Optimization
  • Scheduling and timetabling

Swarm robotics

Mission and Scope

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 This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among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.

Indices

Editor(s)-in-Chief Biography

Yuhui Shi is a Chair Professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech), Shenzhen, China. Dr. Shi was a Professor in the Department of Electrical and Electronic Engineering at the Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, from January 2008 to August 2016, and was with the Electronic Data Systems Corporation (EDS), Indiana, USA, from October 1998 to December 2007. He is an IEEE Fellow, the Editor-in-Chief of the International Journal of Swarm Intelligence Research, and an Associate Editor of the IEEE Transactions on Evolutionary Computation. Dr. Shi coauthored a book on Swarm Intelligence together with Dr. James Kennedy and Dr. Russell C. Eberhart, and another book on Computational Intelligence: Concept to Implementation together with Dr. Russell C. Eberhart.

Submission

Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx PRIOR TO SUBMISSION. All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically.

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