Hao Liu

23 papers Journal 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multi-strategy improved exponential distribution optimizer for numerical optimizations and engineering problems.
J. Supercomput.
Tengfei Yang, Hao Liu
2025 J jnl
Add-GNN: A Dual-Representation Fusion Molecular Property Prediction Based on Graph Neural Networks with Additive Attention.
Symmetry
Ronghe Zhou, Yong Zhang, Kai He, Hao Liu
2025 J jnl
An improved pied kingfisher optimization algorithm based on multi-strategies for numerical and engineering problems.
Clust. Comput.
Xuance Wang, Hao Liu
2025 J jnl
An improved wild horse optimization algorithm based on reinforcement learning for numerical and engineering optimizations.
J. Supercomput.
Mengyao Xi, Hao Liu
2025 J jnl
Feature-enhanced multivariate ensemble model for PV power spatio-temporal forecasting and scenario generation.
Appl. Soft Comput.
Kai He, Yong Zhang, Yukun Wang, Ronghe Zhou, Hao Liu
2025 J jnl
Mhoa: multi-strategy Hiking Optimization Algorithm for solving engineering and numerical optimization problems.
Clust. Comput.
Jinmeng Zhang, Hao Liu
2025 J jnl
Opposition-based learning Harris hawks optimization with steepest convergence for engineering design problems.
J. Supercomput.
Yanfen Zhao, Hao Liu
2023 J jnl
A modified Lévy flight distribution for solving high-dimensional numerical optimization problems.
Math. Comput. Simul.
Quanqin He, Hao Liu, Guiyan Ding, Liangping Tu
2023 J jnl
Adaptive chimp optimization algorithm with chaotic map for global numerical optimization problems.
J. Supercomput.
Yiwen Wang, Hao Liu, Guiyan Ding, Liangping Tu
2023 J jnl
An orthogonal electric fish optimization algorithm with quantization for global numerical optimization.
Soft Comput.
Danyu Wang, Hao Liu, Liangping Tu, Guiyan Ding
2023 J jnl
Defect of Archimedes optimization algorithm and its verification.
Soft Comput.
Guiyan Ding, Wentao Wang, Hao Liu, Liangping Tu
2022 J jnl
Particle swarm optimization with Chebychev functional-link network model for engineering design problems.
Appl. Soft Comput.
Hao Liu, Wentao Wang, Xin Cheng, Huifang Zheng
2021 J jnl
An improved atom search optimization with dynamic opposite learning and heterogeneous comprehensive learning.
Appl. Soft Comput.
Pu Sun, Hao Liu, Yong Zhang, Qingyao Meng, Liangping Tu, Jian Zhao
2020 J jnl
A modified particle swarm optimization for multimodal multi-objective optimization.
Eng. Appl. Artif. Intell.
Xuwei Zhang, Hao Liu, Liangping Tu
2020 J jnl
A modified particle swarm optimization using adaptive strategy.
Expert Syst. Appl.
Hao Liu, Xuwei Zhang, Liangping Tu
2020 J jnl
An efficient multi-objective optimization algorithm based on level swarm optimizer.
Math. Comput. Simul.
Xuwei Zhang, Hao Liu, Liangping Tu, Jian Zhao
2020 J jnl
An improved artificial neural network based on human-behaviour particle swarm optimization and cellular automata.
Expert Syst. Appl.
Yue Wang, Hao Liu, Zhongxin Yu, Liangping Tu
2020 J jnl
Stability analysis of the human behavior-based particle swarm optimization without stagnation assumption.
Expert Syst. Appl.
Hao Liu, Xuwei Zhang, Hong Liang, Liangping Tu
2019 J jnl
A modified particle swarm optimization for large-scale numerical optimizations and engineering design problems.
J. Intell. Manuf.
Hao Liu, Yue Wang, Liangping Tu, Guiyan Ding, Yuhan Hu
2019 J jnl
Terminal crossover and steering-based particle swarm optimization algorithm with disturbance.
Appl. Soft Comput.
Xuwei Zhang, Hao Liu, Tong Zhang, Qiwen Wang, Yue Wang, Liangping Tu
2015 J jnl
Hybrid particle swarm optimisation with adaptively coordinated local searches for multimodal optimisation.
Int. J. Comput. Sci. Math.
Gang Xu, Hao Liu
2015 J jnl
Integrating opposition-based learning into the evolution equation of bare-bones particle swarm optimization.
Soft Comput.
Hao Liu, Gang Xu, Guiyan Ding, Dawei Li
2014 J jnl
Bare-bones particle swarm optimization with disruption operator.
Appl. Math. Comput.
Hao Liu, Guiyan Ding, Bing Wang