Wei Zhang - RankMe

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intensity-driven evolutionary optimization with dual prediction and adaptive stepwise response for dynamic multi-objective problems. Evol. Intell. Cunyan Liu, Junhua Liu, Wei Zhang, Qingda Chen, Meng Wang, Mengnan Tian
2025	J	`jnl`	A Block Storage Optimization Method for Blockchain-Enabled Industrial Internet of Things. IEEE Trans. Ind. Informatics Wei Zhang, Jianchang Liu, Honghai Wang, Yuanchao Liu, Shubin Tan
2025	J	`jnl`	A dual ensemble-surrogate assisted evolutionary algorithm with state information driven infill criterion for expensive many-objective optimization. Swarm Evol. Comput. Wei Zhang, Jianchang Liu, Jiaxin Tian, Yuanchao Liu, Honghai Wang
2025	J	`jnl`	A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization. Expert Syst. Appl. Wei Zhang, Jianchang Liu, Lin Li, Yuanchao Liu, Honghai Wang
2025	J	`jnl`	A state information driven evolutionary algorithm considering dimension influences for many-objective optimization. Appl. Soft Comput. Wei Zhang, Jianchang Liu, Yuanchao Liu, Honghai Wang, Shubin Tan
2025	J	`jnl`	Competition-based two-stage evolutionary algorithm for constrained multi-objective optimization. Math. Comput. Simul. Lupeng Hao, Weihang Peng, Junhua Liu, Wei Zhang, Yuan Li, Kaixuan Qin
2025	J	`jnl`	Constraint-tightening based adaptive two-stage evolutionary algorithm for constrained multi-objective optimization. Swarm Evol. Comput. Cunyan Liu, Qingda Chen, Junhua Liu, Wei Zhang, Meng Wang, Can Liu
2024	J	`jnl`	A cascading elimination-based evolutionary algorithm with variable classification mutation for many-objective optimization. Inf. Sci. Wei Zhang, Jianchang Liu, Wanting Yang, Shubin Tan
2024	J	`jnl`	A dual distance dominance based evolutionary algorithm with selection-replacement operator for many-objective optimization. Expert Syst. Appl. Wei Zhang, Jianchang Liu, Junhua Liu, Yuanchao Liu, Shubin Tan
2024	J	`jnl`	A many-objective evolutionary algorithm under diversity-first selection based framework. Expert Syst. Appl. Wei Zhang, Jianchang Liu, Yuanchao Liu, Junhua Liu, Shubin Tan
2024	J	`jnl`	A strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization. Appl. Soft Comput. Wei Zhang, Jianchang Liu, Junhua Liu, Yuanchao Liu, Shubin Tan
2024	J	`jnl`	A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization. Appl. Soft Comput. Wenjuan Zhang, Jianchang Liu, Wei Zhang, Yuanchao Liu, Shubin Tan
2024	J	`jnl`	Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization. Appl. Intell. Wanting Yang, Jianchang Liu, Shubin Tan, Wei Zhang, Yuanchao Liu
2023	J	`jnl`	A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimization. Expert Syst. Appl. Wei Zhang, Jianchang Liu, Shubin Tan, Honghai Wang
2023	J	`jnl`	A many-objective evolutionary algorithm based on novel fitness estimation and grouping layering. Neural Comput. Appl. Wei Zhang, Jianchang Liu, Junhua Liu, Yuanchao Liu, Honghai Wang
2023	J	`jnl`	A resource allocation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization. Soft Comput. Wanting Yang, Jianchang Liu, Wei Zhang, Xinnan Zhang

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski