Zhanglu Hou

About

Hou Zhanglu, Ph.D., Lecturer. He received his Ph.D. degree in Computer Science and Technology from Xiangtan University in 2025. From 2019 to 2021, he served as a Research Assistant at Southern University of Science and Technology. He joined the Department of Artificial Intelligence at Central South University of Forestry and Technology in January 2026. He is currently the principal investigator of one Key Innovative Research Project for Postgraduates of Hunan Province. He has published over 10 SCI-indexed journal papers, including 5 as first/corresponding author, and has been granted 2 invention patents. His main research interests include dynamic multi-objective optimization and its applications in path planning.

Employment

• Central South University of Forestry and Technology

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• An Improved Reference Point-Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization With Preferences
  IEEE Transactions on Emerging Topics in Computational Intelligence 2026 DOI: 10.1109/TETCI.2025.3611285
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• Improved large-scale multi-objective competitive swarm optimizer with direction learning and decision enhancement
  EXPERT SYSTEMS WITH APPLICATIONS 2026 DOI: 10.1016/J.ESWA.2025.129328
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• Adaptive population classification based multi-strategy evolutionary algorithm for dynamic constrained multi-objective optimization
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2026.132089
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• Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction
  IEEE Transactions on Evolutionary Computation 2025 DOI: 10.1109/TEVC.2025.3551399
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• Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization
  IEEE Transactions on Evolutionary Computation 2025 DOI: 10.1109/TEVC.2025.3566481
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• A decomposition framework with dual populations and dual stages for constrained multi-objective optimization
  SWARM AND EVOLUTIONARY COMPUTATION 2025 DOI: 10.1016/J.SWEVO.2025.102030
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• A new dual-population evolutionary algorithm leveraging objective-constraint relationships for constrained multi-objective optimization
  SWARM AND EVOLUTIONARY COMPUTATION 2025 DOI: 10.1016/J.SWEVO.2025.102152
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• Coping With a Severely Changing Number of Objectives in Dynamic Multiobjective Optimization
  IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2025 DOI: 10.1109/TEVC.2025.3558987
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• Multiple Population Alternate Evolution Neural Architecture Search
  2025 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2025 DOI: 10.1109/IJCNN64981.2025.11228925
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• A novel multi-population evolutionary algorithm based on hybrid collaboration for constrained multi-objective optimization
  SWARM AND EVOLUTIONARY COMPUTATION 2024 DOI: 10.1016/J.SWEVO.2024.101581
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