A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility

ZC Cao, CR Lin, MC Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
Scheduling of complex manufacturing systems entails complicated constraints such as the
mating operational one. Focusing on the real settings, this article considers an extended …

A chaotic local search-based particle swarm optimizer for large-scale complex wind farm layout optimization

Z Lei, S Gao, Z Zhang, H Yang… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Wind energy has been widely applied in power generation to alleviate climate problems.
The wind turbine layout of a wind farm is a primary factor of impacting power conversion …

Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints

Y An, X Chen, K Gao, L Zhang, Y Li, Z Zhao - Swarm and Evolutionary …, 2023 - Elsevier
Nowadays, the make-to-order (MTO) production has gradually become a new manufacturing
trend, and the real-time arrival of orders has brought great challenges to order acceptance …

An improved dolphin swarm algorithm based on Kernel Fuzzy C-means in the application of solving the optimal problems of large-scale function

W Qiao, Z Yang - Ieee Access, 2019 - ieeexplore.ieee.org
The solution of high dimensional function has always been a hot topic. In this paper, a novel
algorithm based on Kernel Fuzzy C-means and dolphin swarm algorithm are proposed to …

Low-carbon joint scheduling in flexible open-shop environment with constrained automatic guided vehicle by multi-objective particle swarm optimization

W Tan, X Yuan, G Huang, Z Liu - Applied Soft Computing, 2021 - Elsevier
Reduction of carbon emissions is receiving growing attention in manufacturing industry. In
the real-life flexible open-shop manufacturing environments, the workpieces generally need …

Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches

Y Tian, T Xiong, Z Liu, Y Mei, L Wan - Computers & Industrial Engineering, 2022 - Elsevier
This paper proposes a new extension of the multi-skill resource-constrained project
scheduling problem: MS-RCPSP with skill switches. In real-world environment, the switch …

Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem

C Su, C Zhang, D Xia, B Han, C Wang, G Chen… - Applied Soft …, 2023 - Elsevier
The job shop scheduling problem (JSSP) with dynamic events and uncertainty is a strongly
NP-hard combinatorial optimization problem (COP) with extensive applications in the …

A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations

J Fan, C Zhang, W Shen, L Gao - International Journal of …, 2023 - Taylor & Francis
Multi-variety and small-batch production mode enables manufacturing industries to
expeditiously satisfy customers' personalised demands, where a large amount of identical …

Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors

H Lou, X Wang, Z Dong, Y Yang - Swarm and Evolutionary Computation, 2022 - Elsevier
Human factors, including worker flexibility and learning–forgetting effects, are crucial factors
in modern manufacturing systems to reduce costs and improve efficiency. However …

Towards a mass customization in the fashion industry: An evolutionary decision aid model for apparel product platform design and optimization

F Longo, A Padovano, B Cimmino, P Pinto - Computers & Industrial …, 2021 - Elsevier
To meet the diverse needs of customers with a competitive offering, many companies are
utilizing product families and platform-based product development to increase variety …