Suchergebnisse - Knowledge-driven memetic algorithm

A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation

Autoren: Yajie Huo Fayong Zhang Wenyin Gong

A Knowledge-Driven Memetic Algorithm for Energy-Aware Distributed Assembly Blocking Permutation Flow Shop Scheduling Problem

Autoren: Shaoxing Wu Li Liu

Quelle: IEEE Access, Vol 13, Pp 199564-199578 (2025)

Schlagwörter: Knowledge-driven memetic algorithm, distributed assembly blocking permutation flow shop scheduling, energy-aware scheduling, adaptive selection strategy, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11263852/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/90dc395cdf304c53b27657feeb08108f

A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem

Autoren: Xu, Yunbao Jiang, Xuemei Li, Jun et al.

Index Begriffe: Mathematics - Optimization and Control, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2404.18953

A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines

Autoren: Libao Deng Yixuan Qiu Yuanzhu Di et al.

Quelle: Applied Soft Computing. 170:112697

Optimization of Reclaiming–Loading Scheduling in Dry Bulk Terminals Based on Knowledge-Driven Memetic Algorithm

Autoren: Qiang Liu Xiaodong Ni Huashi Liu et al.

Quelle: Electronics. 13:4558

Schlagwörter: 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem

Autoren: Yunbao Xu Xuemei Jiang Jun Li et al.

Quelle: Swarm and Evolutionary Computation. 89:101625

Schlagwörter: FOS: Computer and information sciences, Optimization and Control (math.OC), 13. Climate action, 8. Economic growth, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Mathematics - Optimization and Control, 7. Clean energy

Zugangs-URL: http://arxiv.org/abs/2404.18953

A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation.

Autoren: Huo, Yajie Zhang, Fayong Gong, Wenyin

Quelle: Memetic Computing; Mar2026, Vol. 18 Issue 1, p1-19, 19p

Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns

Autoren: Cong Luo Wenyin Gong Chao Lu

Quelle: Expert Systems with Applications. 235:121149

Optimization of Reclaiming–Loading Scheduling in Dry Bulk Terminals Based on Knowledge-Driven Memetic Algorithm.

Autoren: Liu, Qiang Ni, Xiaodong Liu, Huashi et al.

Quelle: Electronics (2079-9292); Nov2024, Vol. 13 Issue 22, p4558, 18p

Schlagwörter: OPTIMIZATION algorithms, PROCESS capability, PARALLEL algorithms, ALGORITHMS, COAL

A memetic algorithm for energy-efficient scheduling of integrated production and shipping

Autoren: Chen, Jian Ning, Tong Xu, Gangyan et al.

Quelle: International journal of computer integrated manufacturing (Print). 35(10-11):1246-1268

Schlagwörter: Scheduling, energy-efficient, integrated production and shipping, memetic algorithm, local search

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-183046
https://liu.diva-portal.org/smash/get/diva2:1639647/FULLTEXT01.pdf

A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines.

Autoren: Deng, Libao Qiu, Yixuan Di, Yuanzhu et al.

Quelle: Applied Soft Computing. Feb2025, Vol. 170, pN.PAG-N.PAG. 1p.

Schlagwörter: Distributed algorithms, Maintenance costs, Energy consumption, Production scheduling, Scheduling, Factories, Flow shops

A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0.

Autoren: Chang, Xiao Jia, Xiaoliang Ren, Jiahao

Quelle: International Journal of Production Research; Jan2025, Vol. 63 Issue 1, p119-147, 29p

Schlagwörter: PRODUCTION scheduling, REINFORCEMENT learning, MACHINE learning, MANUFACTURING processes, COMPUTATIONAL complexity

A multi-objective two-phase cascaded memetic algorithm for multi-shop integrated scheduling problem with AGV transportation.

Autoren: Wang, Chuang Pan, Quan-Ke

Quelle: Memetic Computing; Jun2025, Vol. 17 Issue 2, p1-28, 28p

A reinforcement learning based memetic algorithm for energy-efficient distributed two-stage flexible job shop scheduling problem.

Autoren: Geng, Kaifeng Liu, Li Wu, Shaoxing

Quelle: Scientific Reports; 12/28/2024, Vol. 14 Issue 1, p1-19, 19p

Schlagwörter: PRODUCTION scheduling, SEARCH algorithms, REINFORCEMENT learning, ELECTRICITY pricing, ENERGY industries, TABU search algorithm

Two-stage memetic algorithm for green flexible job shop scheduling problem considering machine deterioration and maintenance.

Autoren: Zhu, Guoqiang Liu, Jianfeng Gong, Wenyin

Quelle: Memetic Computing; Jun2025, Vol. 17 Issue 2, p1-33, 33p

Learning-driven memetic algorithm for solving integrated distributed production and transportation scheduling problem.

Autoren: Zhao, Shicun Zhou, Hong

Quelle: Swarm & Evolutionary Computation. Jul2025, Vol. 96, pN.PAG-N.PAG. 1p.

Schlagwörter: Production scheduling, Reinforcement learning, Multi-objective optimization, Production management (Manufacturing), Transportation planning

An improved memetic algorithm for distributed hybrid flow shop scheduling problem with operation inspection and reprocessing.

Autoren: Zheng, Yu Peng, Ningtao Qi, Hao et al.

Quelle: Measurement & Control (0020-2940); Jan2025, Vol. 58 Issue 1, p68-96, 29p

Schlagwörter: FLOW shop scheduling, MULTI-objective optimization, PRODUCTION scheduling, FLEXIBLE work arrangements, SCHEDULING

An improved memetic algorithm to solve the energy-efficient distributed flexible job shop scheduling problem with transportation and start-stop constraints.

Autoren: Yifan Gu Hua Xu Jinfeng Yang et al.

Quelle: Mathematical Biosciences & Engineering; 2023, Vol. 20 Issue 12, p21467-21498, 32p

Dynamic scheduling for flexible job-shop with quality abnormality caused by machine fault.

Autoren: Zhu, Kaikai Gong, Guiliang Li, Xiaobin et al.

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 10, p1-39, 39p

Schlagwörter: PRODUCT quality, INSPECTION & review, MATHEMATICAL models, SYSTEM failures, ENERGY consumption, HEURISTIC, SCHEDULING

An improved adaptive large neighborhood search algorithm for integrated scheduling of distributed production and distribution systems.

Autoren: Deng, Jiawen Zhang, Jihui Yang, Shengxiang

Quelle: Memetic Computing; Mar2026, Vol. 18 Issue 1, p1-36, 36p