Supreet Singh

Employment

• Indraprastha Institute of Information Technology Delhi Fellow
  2022 - Present
• Chandigarh University Assistant Professor
  2021 - 2022
• Thapar Institute of Engineering and Technology Research Scholar
  2019 - Present
• Chandigarh University Assistant Professor
  2016 - 2019

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A novel self‐adaptive hybrid slime mould naked mole‐rat algorithm for numerical optimization and energy‐efficient wireless sensor network
  Concurrency and Computation: Practice and Experience 2023 DOI: 10.1002/cpe.7809
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• Hybrid sooty tern naked mole-rat algorithm and Fuzzy Type-2 logic-based trust and energy-aware stable clustering protocol
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2023.119706
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• A hybrid transient search naked mole-rat optimizer for image segmentation using multilevel thresholding
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2022.119021
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• Marine predator inspired naked mole-rat algorithm for global optimization
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2022.118822
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• The effect of chaotic mapping on naked mole-rat algorithm for energy efficient smart city wireless sensor network
  Computers & Industrial Engineering 2022 DOI: 10.1016/j.cie.2022.108655
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• A Novel Hybrid Tunicate Swarm Naked Mole-Rat Algorithm for Image Segmentation and Numerical Optimization
  Computers, Materials & Continua 2022 DOI: 10.32604/cmc.2022.023004
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• Hybridizing Cuckoo Search with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites
  2021 IEEE Symposium Series on Computational Intelligence (SSCI) 2021 DOI: 10.1109/ssci50451.2021.9659846
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• A New Set of Mutation Operators for Dragonfly Algorithm
  Arabian Journal for Science and Engineering 2021 DOI: 10.1007/s13369-021-05639-y
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• Application of mutation operators to salp swarm algorithm
  Expert Systems with Applications 2021 DOI: 10.1016/j.eswa.2020.114368
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• A hybridized multi-algorithm strategy for engineering optimization problems
  Knowledge-Based Systems 2021 DOI: 10.1016/j.knosys.2021.106790
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