Zhanglu Hou

According to our database, Zhanglu Hou authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improved large-scale multi-objective competitive swarm optimizer with direction learning and decision enhancement.

Juan Zou, Maolin Zhou, Zhanglu Hou, Yuan Liu, Hui Bai, Jinhua Zheng

Expert Syst. Appl., 2026

2025

Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization.

Juan Zou, Zhanglu Hou, Shouyong Jiang, Shengxiang Yang, Gan Ruan, Yizhang Xia, Yuan Liu

IEEE Trans. Evol. Comput., October, 2025

Coping With a Severely Changing Number of Objectives in Dynamic Multiobjective Optimization.

Gan Ruan, Zhanglu Hou, Xin Yao

IEEE Trans. Evol. Comput., October, 2025

Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction.

Quan Gong, Yizhang Xia, Juan Zou, Zhanglu Hou, Yuan Liu

IEEE Trans. Evol. Comput., October, 2025

A new dual-population evolutionary algorithm leveraging objective-constraint relationships for constrained multi-objective optimization.

Jialu Ye, Chaogui Tan, Yizhang Xia, Zhanglu Hou, Yuan Liu, Juan Zou

Swarm Evol. Comput., 2025

A decomposition framework with dual populations and dual stages for constrained multi-objective optimization.

Zhanglu Hou, Jialu Ye, Yizhang Xia, Yibin Gong, Juan Zou, Shengxiang Yang

Swarm Evol. Comput., 2025

Multiple Population Alternate Evolution Neural Architecture Search.

Juan Zou, Han Chu, Yizhang Xia, Junwen Xu, Yuan Liu, Zhanglu Hou

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

A novel preference-driven evolutionary algorithm for dynamic multi-objective problems.

Xueqing Wang, Jinhua Zheng, Zhanglu Hou, Yuan Liu, Juan Zou, Yizhang Xia, Shengxiang Yang

Swarm Evol. Comput., 2024

A novel multi-population evolutionary algorithm based on hybrid collaboration for constrained multi-objective optimization.

Qiuzhen Wang, Yanhong Li, Zhanglu Hou, Juan Zou, Jinhua Zheng

Swarm Evol. Comput., 2024

Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization.

Yuan Liu, Jiazheng Li, Juan Zou, Zhanglu Hou, Shengxiang Yang, Jinhua Zheng

Swarm Evol. Comput., 2024

A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization.

Kangyu Xu, Yizhang Xia, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yaru Hu, Yuan Liu

Inf. Sci., 2024

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition.

Yizhang Xia, Shihao Song, Zhanglu Hou, Junwen Xu, Juan Zou, Yuan Liu, Shengxiang Yang

CoRR, 2024

G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth.

Juan Zou, Weiwei Jiang, Yizhang Xia, Yuan Liu, Zhanglu Hou

CoRR, 2024

A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems.

Xueqing Wang, Jinhua Zheng, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yuan Liu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization.

Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia

CoRR, 2023

2020

Reformulating preferences into constraints for evolutionary multi- and many-objective optimization.

Zhanglu Hou, Cheng He, Ran Cheng

Inf. Sci., 2020

2018

A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.

Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018