IEEE/ACM Transactions on Computational Biology and Bioinformatics

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) is a bimonthly journal that publishes archival research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology. Read the full scope of TCBB


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From the November/December 2018 Issue

Swarm Robots Search for Multiple Targets Based on an Improved Grouping Strategy 

By Qirong Tang, Lu Ding, Fangchao Yu, Yuan Zhang, Yinghao Li, and Haibo Tu

Featured article thumbnail image Swarm robots search for multiple targets in collaboration in unknown environments has been addressed in this paper. An improved grouping strategy based on constriction factors Particle Swarm Optimization is proposed. Robots are grouped under this strategy after several iterations of stochastic movements, which considers the influence range of targets and environmental information they have sensed. The group structure may change dynamically and each group focuses on searching one target. All targets are supposed to be found finally. Obstacle avoidance is considered during the search process. Simulation compared with previous method demonstrates the adaptability, accuracy, and efficiency of the proposed strategy in multiple targets searching.

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Editorials and Announcements

Announcements

  • We are pleased to announce that Aidong Zhang, the SUNY Distinguished Professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York, has been named the new Editor-in-Chief of the IEEE/ACM Transactions on Computational Biology and Bioinformatics starting in 2017.
  • TCBB now offers authors access to Code Ocean. Code Ocean is a cloud-based executable research platform that allows authors to share their algorithms in an effort to make the world’s scientific code more open and reproducible. Learn more or sign up for free.

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TCBB is a joint publication of the IEEE Computer Society and the Association for Computing Machinery.

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Published in cooperation with: IEEE Control Systems Society and IEEE Engineering in Medicine and Biology Society


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