Publications 2026

Contents

• International Journals

International Journals

1. Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming, Victor C.M. Leung, Carlos A. Coello Coello, A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization, IEEE Transactions on Cybernetics, Vol. 56, No. 1, pp. 148--161, January 2026.
   
   
2. Julio Juárez, Hugo Terashima-Marín and Carlos A. Coello Coello, Multi-objective Hyper-heuristics: A Survey, Artificial Intelligence Review, Vol. 59, No. 2, Article Number: 80, January 8, 2026.
   
   
3. Huigen Ye, Hua Xu, Carlos A. Coello Coello, Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultra-Large-Scale Mixed Integer Linear Programs, IEEE Transactions on Evolutionary Computation, Vol. 30, No. 1, pp. 333--347, February 2026.
   
   
4. Ginna N. Enriquez, Carlos Artemio Coello Coello, Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, German Ardul Muñoz-Hernandez, Gabriel Sepúlveda-Cervantes. Unsupervised Fault Event Detection in Historical Industrial Telemetry With Temporal Event Structuring, IEEE Access, Vol. 14, pp. 64836--64854, 28 April 2026.
   
   
5. Zhixiao Xiong, Huigen Ye, Hua Xu and Carlos A. Coello Coello, HEQP: A Hypergraph Neural Network-Based Evolutionary Method for Large-Scale QCQPs, IEEE Transactions on Cybernetics, Vol. 56, No. 5, pp. 2663-2676, May 2026.
   
   
6. Yiya Diao, Changhe Li, Sanyou Zeng, Xinye Cai, Wenjian Luo, Shengxiang Yang and Carlos A. Coello Coello, Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Potential Unified Tool, IEEE Transactions on Evolutionary Computation, Vol. 30, No. 3, pp. 1195--1209, June 2026.
   
   
7. Daniel Molina-Pérez, Alam Gabriel Rojas-López, Carlos Coello-Coello, Efficient Hybrid Evolutionary-Numerical Algorithms for Contrast Enhancement in Medical Images with Noise Control, Mathematical and Computational Applications, Vol. 31, No. 3, Paper Number: 110, 2026. DOI: 10.3390/mca31030110.
   
   
8. Zhi Liu, Wei Song, Carlos A. Coello Coello, Yaochu Jin, Shengxiang Yang, Shitong Wang, Environmental Knowledge-Driven Transfer Strategy With Collaborative Learning for Dynamic Constrained Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, 2026 (accepted).
   
   
9. Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Ka-Chun Wong, Wei-Neng Chen and Carlos A. Coello Coello, Experience Evolution-Guided Multi-Objective Reinforcement Learning, IEEE Transactions on Evolutionary Computation, 2026 (accepted).
   
   
10. Tiangai Yao, Zhangfan Yang, Junkai Ji and Carlos A. Coello Coello, A Molecular Language Model Driven Genetic Algorithm for Multi-Objective Molecular Generation, IEEE Transactions on Evolutionary Computation, 2026 (accepted).
    
    
11. Mengjun Ming, Rui Wang, Xin Zhou, Tao Zhang, Hisao Ishibuchi and Carlos A. Coello Coello, A Comprehensive Comparison of Constrained Multi-Objective Evolutionary Algorithms, Artificial Intelligence Review, 2026 (accepted).
    
    
12. Genghui Li, Xinbu Dong, Laizhong Cui, Weifeng Gao, Yu Zhou, Qiuzhen Lin and Carlos A. Coello Coello, Large Language Model-Driven Neural–Heuristic Optimization for Large-Scale Routing Problems, IEEE Transactions on Evolutionary Computation, 2026 (accepted).
    
    
13. Wei Fang, Zhenghuan Zhang, Shuwei Zhu, Jun Sun, Xiaojun Wu, Kalyanmoy Deb and Carlos A. Coello Coello, SDNAS: Neural Architecture Search for Self-Supervised Single-Image Denoising Using Genetic Algorithm with Modular Encoding, IEEE Transactions on Evolutionary Computation, 2026 (accepted).