S. N. Poojitha

About

Dr. S. N. Poojitha is an Assistant Professor in the Department of Civil Engineering, National Institute of Technology Calicut. Her primary research focuses on the reliable and economical design of water distribution networks (WDNs), an essential civic infrastructure. She formulated computationally efficient metaheuristic optimization techniques, the FIT-KHA, DE-KHA, and chaos-based EA models, considering the NP-hard nature of the WDN design problem. She introduced a penalty-free multi-objective DE-KHA model with a posterior performance model for proposing desirable non-inferior solutions that are robust in the face of hydraulic and mechanical uncertainties.

Employment

• National Institute of Technology Calicut Assistant Professor
  2024 - Present
• Indian Institute of Technology Bombay Research Associate
  2023 - 2023
• Kalinga Institute of Industrial Technology ASSISTANT PROFESSOR
  2016 - 2017

Education

• INDIAN INSTITUTE OF TECHNOLOGY BOMBAY Doctoral Student
  2017 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Design of Real-Scale Balerma Irrigation Network Using Variants of Bio-inspired Genetic Algorithm
  2025 DOI: 10.1007/978-981-96-5043-9_43
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• Optimal and Phasing Design of Water Distribution Networks in View of Demand Uncertainty
  2025 DOI: 10.5194/egusphere-egu25-20529
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• Robust and Reliable Design Alternatives to Water Distribution Networks: Introducing a Penalty-Free Hybrid Metaheuristic Multiobjective Algorithm with a Posterior Performance Investigation Model
  Journal of Water Resources Planning and Management 2024 DOI: 10.1061/JWRMD5.WRENG-6420
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• Chaotic differential evolution algorithms for optimal design of water distribution networks
  ISH Journal of Hydraulic Engineering 2023 DOI: 10.1080/09715010.2022.2138585
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• Application of Enhanced Search Technique: Chaos-Directed Genetic Algorithm in Optimal Design of Water Distribution Network
  EGU 2023 2023 DOI: 10.5194/egusphere-egu23-641
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• Evaluation of Sustainability Index of Water Distribution Network Using Demand-Driven and Pressure-Driven Analysis
  Journal of Water Resources Planning and Management 2023 DOI: 10.1061/JWRMD5.WRENG-5705
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• Application of Bio-inspired Genetic Algorithm: A Case Study
  Lecture Notes in Civil Engineering 2022 DOI: 10.1007/978-981-16-7509-6_60
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• Hybrid Differential Evolution and Krill Herd Algorithm for the Optimal Design of Water Distribution Networks
  Journal of Computing in Civil Engineering 2022 DOI: 10.1061/(ASCE)CP.1943-5487.0000999
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• Chaos-directed genetic algorithms for water distribution network design: an enhanced search method
  Stochastic Environmental Research and Risk Assessment 2022 DOI: 10.1007/S00477-022-02200-7
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• Bio-Inspired Genetic Algorithm for Optimal Design of Water Distribution Networks
  Hydrologic Modeling 2022 DOI: 10.1007/978-3-030-81358-1_2
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