Multi-Level Planning and Scheduling for Parallel PCB Assembly Lines Using Hybrid Spider Monkey Optimization Approach. - Jabir Mumtaz; Zailin Guan; Lei Yue; Zhengya Wang; Saif Ullah; Mudassar Rauf (IEEE Access, 2019)

Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm. - Mudassar Rauf; Zailin Guan; Lei Yue; Ziteng Guo; Jabir Mumtaz; Saif Ullah (IEEE Access, 2020)

A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines. - Mudassar Rauf; Zailin Guan; Shoaib Sarfraz; Jabir Mumtaz; Essam Shehab; Mirza Jahanzaib; Muhammad Hanif 004 (Robotics Comput. Integr. Manuf., 2020)

Re-ranking person re-identification using distance aggregation of k-nearest neighbors hierarchical tree. - Muhammad Hanif 004; Hefei Ling; Weiyi Tian; Yuxuan Shi; Mudassar Rauf (Multim. Tools Appl., 2021)

Energy-efficient scheduling of a two-stage flexible printed circuit board flow shop using a hybrid Pareto spider monkey optimisation algorithm. - Lei Yue; Hao Wang; Jabir Mumtaz; Mudassar Rauf; Zhifu Li (J. Ind. Inf. Integr., 2023)

Solving line balancing and AGV scheduling problems for intelligent decisions using a Genetic-Artificial bee colony algorithm. - Jabir Mumtaz; Kaynat Afzal Minhas; Mudassar Rauf; Lei Yue; Yarong Chen (Comput. Ind. Eng., 2024)

Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling. - Linshan Ding; Zailin Guan; Mudassar Rauf; Lei Yue (Swarm Evol. Comput., 2024)

An Adaptive Search Algorithm for Multiplicity Dynamic Flexible Job Shop Scheduling with New Order Arrivals. - Linshan Ding; Zailin Guan; Dan Luo; Mudassar Rauf; Weikang Fang (Symmetry, 2024)

Deep reinforcement learning for data-driven scheduling in multi-variety and small-batch flexible job shops: Integrating fluid models for enhanced optimization. - Linshan Ding; Dan Luo; Mudassar Rauf; Lei Yue (Comput. Ind. Eng., 2025)

An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming. - Yarong Chen; Jinhao Du; Jabir Mumtaz; Jingyan Zhong; Mudassar Rauf (Expert Syst. Appl., 2025)

A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm. - Linshan Ding; Dan Luo; Mudassar Rauf; Lei Yue; Leilei Meng (Swarm Evol. Comput., 2025)