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ORCIDMengjie Zhang 0001
Person information
- affiliation: Victoria University of Wellington, New Zealand
Other persons with the same name
- Mengjie Zhang 0002 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Mengjie Zhang 0003 — China Institute of Water Resources and Hydropower Research, Department of Water Resources (DWR), Beijing, China
- Mengjie Zhang 0004 — Fudan University, Department of Communication Science and Engineering, Shanghai, China
- Mengjie Zhang 0005 — Hebei University of Technology, School of Management, Tianjin, China
- Mengjie Zhang 0006 — Beijing University of Technology, International WIC Institute, China (and 2 more)
- Mengjie Zhang 0007 — Dalian University of Technology, School of Automotive Engineering, China
- Mengjie Zhang 0008 — Beihang University, School of Foreign Languages, Beijing, China
- Mengjie Zhang 0009 — EngineeringHubei University, College of Computer and Information Engineering, Wuhan, China
- Mengjie Zhang 0010 — China Agricultural University, College of Engineering, Beijing, China
- Mengjie Zhang 0011 — Columbia University, Department of Earth and Environmental Engineering, New York, NY, USA
- Mengjie Zhang 0012 — Chongqing University, Faculty of Architecture and Urban Planning, China
- Mengjie Zhang 0013
![[0000-0001-6337-346X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6337-346X")
— Tianjin University, School of Electrical and Information Engineering, China - Mengjie Zhang 0014 — Dareway Software Company Ltd., Jinan, China (and 1 more)
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2020 – today
- 2024
[j232]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024)- 2023
- [j231]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 62-63 (2023) - [j230]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626: 586-606 (2023) - [j229]An-Da Li, Bing Xue, Mengjie Zhang:
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Inf. Sci. 641: 119062 (2023) - [j228]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13699-13714 (2023) - [j227]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140: 109523 (2023) - [j226]Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang, Mengjie Zhang:
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5707-5720 (2023) - [j225]Ying Bi, Bing Xue, Mengjie Zhang:
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53(2): 1118-1132 (2023) - [j224]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization. IEEE Trans. Cybern. 53(3): 1667-1681 (2023) - [j223]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Trans. Cybern. 53(5): 2727-2740 (2023) - [j222]Ying Bi, Bing Xue, Mengjie Zhang:
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53(5): 3007-3020 (2023) - [j221]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Learning Heuristics With Different Representations for Stochastic Routing. IEEE Trans. Cybern. 53(5): 3205-3219 (2023) - [j220]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling. IEEE Trans. Cybern. 53(7): 4473-4486 (2023) - [j219]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53(7): 4579-4593 (2023) - [j218]Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(8): 5165-5177 (2023) - [j217]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53(10): 6676-6689 (2023) - [j216]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023) - [j215]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27(2): 296-310 (2023) - [j214]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao:
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27(2): 311-325 (2023) - [j213]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27(3): 460-474 (2023) - [j212]Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang:
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27(3): 621-641 (2023) - [j211]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems. IEEE Trans. Evol. Comput. 27(4): 1057-1071 (2023) - [j210]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27(4): 1130-1144 (2023) - [j209]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. IEEE Trans. Evol. Comput. 27(5): 1192-1206 (2023) - [j208]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen:
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. IEEE Trans. Evol. Comput. 27(5): 1298-1312 (2023) - [j207]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan:
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34(2): 550-570 (2023) - [j206]Siyi Li, Yanan Sun, Gary G. Yen, Mengjie Zhang:
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3832-3846 (2023) - [j205]Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang:
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7621-7634 (2023) - [j204]Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing. IEEE Trans. Serv. Comput. 16(4): 2657-2671 (2023) - [c590]Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas:
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. ACIVS 2023: 287-298 - [c589]Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP 2023: 84-100 - [c588]Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar 2023: 623-639 - [c587]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50 - [c586]Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. GECCO Companion 2023: 259-262 - [c585]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning to Select Initialisation Heuristic for Vehicle Routing Problems. GECCO 2023: 266-274 - [c584]Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang:
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. GECCO 2023: 384-392 - [c583]Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO 2023: 420-428 - [c582]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. GECCO Companion 2023: 427-430 - [c581]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO 2023: 438-446 - [c580]Gonglin Yuan, Bing Xue, Mengjie Zhang:
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO 2023: 615-623 - [c579]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion 2023: 655-658 - [c578]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. GECCO Companion 2023: 707-710 - [c577]Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2023: 1129-1156 - [c576]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling. GECCO 2023: 1137-1145 - [c575]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO 2023: 1184-1193 - [c574]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO 2023: 1194-1202 - [c573]Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal:
Learning Emergency Medical Dispatch Policies Via Genetic Programming. GECCO 2023: 1409-1417 - [c572]Mengjie Zhang, Stefano Cagnoni:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion 2023: 1533-1561 - [c571]David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. INNS DLIA@IJCNN 2023: 636-645 - [c570]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) 2023: 385-397 - [i46]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Online Loss Function Learning. CoRR abs/2301.13247 (2023) - [i45]Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv:
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR abs/2304.08915 (2023) - [i44]Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. CoRR abs/2308.09238 (2023) - 2022
- [j203]Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15(10): 347 (2022) - [j202]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118: 108509 (2022) - [j201]Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang:
Feature fusion and kernel selective in Inception-v4 network. Appl. Soft Comput. 119: 108582 (2022) - [j200]Muhammad Ali, Yifan Chen, Michael J. Cree, Mengjie Zhang:
In vivo computation with sensor fusion and search acceleration for smart tumor homing. Comput. Biol. Medicine 148: 105887 (2022) - [j199]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30(1): 99-129 (2022) - [j198]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic programming for automatic skin cancer image classification. Expert Syst. Appl. 197: 116680 (2022) - [j197]Leonardo Trujillo, Ting Hu, Nuno Lourenço, Mengjie Zhang:
Editorial Introduction. Genet. Program. Evolvable Mach. 23(3): 305-307 (2022) - [j196]Ying Bi, Bing Xue, Mengjie Zhang:
Using a small number of training instances in genetic programming for face image classification. Inf. Sci. 593: 488-504 (2022) - [j195]Emrah Hancer, Bing Xue, Mengjie Zhang:
Fuzzy filter cost-sensitive feature selection with differential evolution. Knowl. Based Syst. 241: 108259 (2022) - [j194]Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu:
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14(5): 1275 (2022) - [j193]Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu:
Genetic Programming for High-Level Feature Learning in Crop Classification. Remote. Sens. 14(16): 3982 (2022) - [j192]Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv:
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. IEEE Trans. Artif. Intell. 3(4): 526-540 (2022) - [j191]Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang:
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds. IEEE Trans. Cloud Comput. 10(3): 1500-1514 (2022) - [j190]Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. 52(1): 25-38 (2022) - [j189]Qi Chen, Bing Xue, Mengjie Zhang:
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 52(4): 2382-2395 (2022) - [j188]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents. IEEE Trans. Cybern. 52(6): 4246-4259 (2022) - [j187]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52(7): 7172-7186 (2022) - [j186]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Cybern. 52(8): 8142-8156 (2022) - [j185]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52(8): 8272-8285 (2022) - [j184]Su Nguyen, Dhananjay R. Thiruvady, Mengjie Zhang, Damminda Alahakoon:
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. IEEE Trans. Cybern. 52(9): 8603-8616 (2022) - [j183]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. 52(10): 10515-10528 (2022) - [j182]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem. IEEE Trans. Cybern. 52(10): 10855-10868 (2022) - [j181]Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao:
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(1): 73-87 (2022) - [j180]Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang:
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26(2): 202-205 (2022) - [j179]Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Trans. Evol. Comput. 26(2): 218-232 (2022) - [j178]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(3): 446-460 (2022) - [j177]Ying Bi, Bing Xue, Mengjie Zhang:
Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Trans. Evol. Comput. 26(3): 555-569 (2022) - [j176]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26(4): 661-675 (2022) - [j175]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(4): 765-779 (2022) - [j174]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. IEEE Trans. Evol. Comput. 26(5): 872-885 (2022) - [j173]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(5): 1015-1029 (2022) - [j172]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes. IEEE Trans. Evol. Comput. 26(6): 1394-1408 (2022) - [j171]Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26(6): 1473-1485 (2022) - [j170]Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3727-3740 (2022) - [c569]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. AI 2022: 116-130 - [c568]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. AI 2022: 237-251 - [c567]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI 2022: 279-293 - [c566]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI 2022: 294-307 - [c565]Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen:
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. AI 2022: 516-529 - [c564]Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching. CEC 2022: 1-8 - [c563]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. CEC 2022: 1-8 - [c562]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c561]Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c560]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c559]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP 2022: 51-67 - [c558]Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. EuroGP 2022: 162-178 - [c557]Sai Panda, Yi Mei, Mengjie Zhang:
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling. EvoCOP 2022: 95-110 - [c556]Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang:
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications 2022: 283-298 - [c555]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems. GECCO 2022: 213-221 - [c554]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion 2022: 232-235 - [c553]Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion 2022: 264-267 - [c552]