标题
An improved grey wolf optimizer for welding shop inverse scheduling
作者
关键词
Welding shop inverse scheduling problem, Improved grey wolf optimization, Critical path, Variable neighborhood search
出版物
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 163, Issue -, Pages 107809
出版商
Elsevier BV
发表日期
2021-11-14
DOI
10.1016/j.cie.2021.107809
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Online heuristic for the preemptive single machine scheduling problem to minimize the total weighted tardiness
- (2021) Boris Goldengorin et al. COMPUTERS & INDUSTRIAL ENGINEERING
- An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem
- (2021) Kexin Li et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Solving flexible job shop scheduling problem by a multi-swarm collaborative genetic algorithm
- (2021) Wang Cuiyu et al. Journal of Systems Engineering and Electronics
- Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D
- (2021) Guangchen Wang et al. Swarm and Evolutionary Computation
- Opposition-based learning grey wolf optimizer for global optimization
- (2021) Xiaobing Yu et al. KNOWLEDGE-BASED SYSTEMS
- An efficient evolutionary grey wolf optimizer for multi-objective flexible job shop scheduling problem with hierarchical job precedence constraints
- (2020) Zhenwei Zhu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- On the Dual and Inverse Problems of Scheduling Jobs to Minimize the Maximum Penalty
- (2020) Alexander A. Lazarev et al. Mathematics
- A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing
- (2020) K.Z. Gao et al. Swarm and Evolutionary Computation
- An improved simulated annealing algorithm based on residual network for permutation flow shop scheduling
- (2020) Yang Li et al. Complex & Intelligent Systems
- Mathematical modeling and a discrete artificial bee colony algorithm for the welding shop scheduling problem
- (2019) Xinyu Li et al. Memetic Computing
- A Solution to Single-Machine Inverse Job-Shop Scheduling Problem
- (2019) Y. Wang et al. International Journal of Simulation Modelling
- An Effective Multi-Objective Algorithm for Energy Efficient Scheduling in a Real-Life Welding Shop
- (2018) Xinyu Li et al. IEEE Transactions on Industrial Informatics
- Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems
- (2018) Jianhui Mou et al. NEURAL COMPUTING & APPLICATIONS
- An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint
- (2018) Hongbin Qin et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
- (2017) Chao Lu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production
- (2016) Chao Lu et al. ADVANCES IN ENGINEERING SOFTWARE
- Gray Wolf Optimizer for hyperspectral band selection
- (2016) S.A. Medjahed et al. APPLIED SOFT COMPUTING
- Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers
- (2015) Yatin Sharma et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems
- (2015) Jianhui Mou et al. JOURNAL OF INTELLIGENT MANUFACTURING
- An efficient FE computation for predicting welding induced buckling in production of ship panel structure
- (2015) Jiangchao Wang et al. MARINE STRUCTURES
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- A GA/TS algorithm for the stage shop scheduling problem
- (2011) Mohammad Mahdi Nasiri et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Inverse scheduling: two-machine flow-shop problem
- (2010) Peter Brucker et al. JOURNAL OF SCHEDULING
- Inverse scheduling with maximum lateness objective
- (2009) Peter Brucker et al. JOURNAL OF SCHEDULING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now