LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization. - Libao Deng; Yuanzhu Di; Le Song; Wenyin Gong (Appl. Intell., 2023)

Biased Bi-Population Evolutionary Algorithm for Energy-Efficient Fuzzy Flexible Job Shop Scheduling with Deteriorating Jobs. - Libao Deng; Yingjian Zhu; Yuanzhu Di; Lili Zhang 001 (Complex Syst. Model. Simul., 2024)

A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control. - Libao Deng; Yixuan Qiu; Wenyin Gong; Yuanzhu Di; Chunlei Li 007 (Expert Syst. Appl., 2024)

A collaborative-learning multi-agent reinforcement learning method for distributed hybrid flow shop scheduling problem. - Yuanzhu Di; Libao Deng; Lili Zhang 012 (Swarm Evol. Comput., 2024)

A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery. - Libao Deng; Yuanzhu Di; Ling Wang 001 (IEEE Trans. Cybern., 2024)

A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines. - Libao Deng; Yixuan Qiu; Yuanzhu Di; Lili Zhang (Appl. Soft Comput., 2025)

A multipopulation framework for evolutionary algorithms based on fitness differences and individual distributions. - Zhe Yang 016; Libao Deng; Chunlei Li 007; Yuanzhu Di; Linfeng Mu (Inf. Sci., 2025)