Search Results - cloud theory-based iterated greedy algorithm~

Minimising makespan in distributed mixed no-idle flowshops.

Authors: Cheng, Chen-Yang Ying, Kuo-Ching Chen, Hsia-Hsiang et al.

Source: International Journal of Production Research. Jan2019, Vol. 57 Issue 1, p48-60. 13p. 2 Diagrams, 3 Charts.

Subject Terms: *FLOW shop scheduling, *PRODUCTION scheduling, *WEB services, *MATHEMATICAL optimization, CLOUD computing, NUMERICAL analysis

Minimizing the Sum of Makespan and Total Weighted Tardiness in a No-Wait Flowshop

Authors: Shih-Wei Lin Chung-Cheng Lu Kuo-Ching Ying

Source: IEEE Access, Vol 6, Pp 78666-78677 (2018)

Subject Terms: metaheuristics, Scheduling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, no-wait flowshop, cloud theory-based iterated greedy algorithm, TK1-9971

Access URL: https://doaj.org/article/0064d4e27afb44a98903c99500a984d1
https://scholar.nycu.edu.tw/en/publications/minimizing-the-sum-of-makespan-and-total-weighted-tardiness-in-a-
https://doi.org/10.1109/ACCESS.2018.2885137
https://dblp.uni-trier.de/db/journals/access/access6.html#LinLY18
https://ir.nctu.edu.tw:443/handle/11536/148667

A novel iterated greedy algorithm for no-wait permutation flowshop scheduling to minimize weighted quadratic tardiness.

Authors: Prata, Bruno de Athayde Nagano, Marcelo Seido

Source: Engineering Optimization; Dec2023, Vol. 55 Issue 12, p2070-2083, 14p

Subject Terms: TARDINESS, PERMUTATIONS, GREEDY algorithms, SCHEDULING, PRODUCTION scheduling

Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial.

Authors: Zhao, ZiYan Zhou, MengChu Liu, ShiXin

Source: IEEE Transactions on Automation Science & Engineering; Jul2022, Vol. 19 Issue 3, p1941-1959, 19p

Subject Terms: FLOW shop scheduling, GREEDY algorithms, PRODUCTION scheduling, HEURISTIC algorithms

A branch-and-bound algorithm and four metaheuristics for minimizing total completion time for a two-stage assembly flow-shop scheduling problem with learning consideration.

Authors: Wu, Chin-Chia Bai, Danyu Azzouz, Ameni et al.

Source: Engineering Optimization; Jun2020, Vol. 52 Issue 6, p1009-1036, 28p

Subject Terms: FLOW shop scheduling, BEES algorithm, METAHEURISTIC algorithms, GREEDY algorithms, COMPUTER scheduling, SIMULATED annealing, SEARCH algorithms

Solving two-stage stochastic route-planning problem in milliseconds via end-to-end deep learning.

Authors: Zheng, Jie Wang, Ling Wang, Shengyao et al.

Source: Complex & Intelligent Systems; Jun2021, Vol. 7 Issue 3, p1207-1222, 16p

Subject Terms: LOCAL delivery services, CONVOLUTIONAL neural networks, SUPERVISED learning, SIGNAL convolution, DEEP learning, GREEDY algorithms, MATHEMATICAL optimization

Minimizing the Makespan for a Two-Stage Three-Machine Assembly Flow Shop Problem with the Sum-of-Processing-Time Based Learning Effect.

Authors: Lin, Win-Chin

Source: Discrete Dynamics in Nature & Society; 5/23/2018, p1-15, 15p

Subject Terms: LABOR process, LEARNING, PROBLEM solving, MACHINE learning, SIMULATED annealing

Computing Offloading and Resource Optimization of Adaptive Data Block Size in Edge Environments.

Authors: Yanpei Liu Zhu, Qi Chen, Ningning et al.

Source: Automatic Control & Computer Sciences; Dec2022, Vol. 56 Issue 6, p564-576, 13p

Planning and scheduling shared manufacturing systems: key characteristics, current developments and future trends.

Authors: Duran, Ege Ozturk, Cemalettin O'Sullivan, Barry

Source: International Journal of Production Research; Jul2025, Vol. 63 Issue 13, p4958-4990, 33p

Subject Terms: PRODUCTION planning, MANUFACTURING processes, ECONOMIES of scale, SOFTWARE as a service, BUSINESS models

Cost-effective clonal selection and AIS-based load balancing in cloud computing environment.

Authors: Mosayebi, Melika Azmi, Reza

Source: Journal of Supercomputing; Nov2024, Vol. 80 Issue 16, p23271-23310, 40p

Subject Terms: EVOLUTIONARY algorithms, VIRTUAL machine systems, DISTRIBUTED algorithms, CLOUD computing, DATA reduction

A heuristic method for multi-objective hybrid flow shop scheduling problem with parent-child relationships and space constraints.

Authors: Zheng, Junli Zhao, Junbo Zhao, Sixiang

Source: International Journal of Production Research; Apr2025, Vol. 63 Issue 7, p2431-2455, 25p

Subject Terms: FLOW shop scheduling, TABU search algorithm, PARENT-child relationships, SPACE industrialization, PRODUCTION scheduling

Toward a Distributed Potential Game Optimization to Sensor Area Coverage Problem.

Authors: Huang, Jun Chen, Jie Dong, Rongcheng et al.

Source: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 17, p2709, 11p

Subject Terms: COMBINATORIAL optimization, NASH equilibrium, DETECTORS, MATHEMATICAL optimization, OPTIMIZATION algorithms, ALGORITHMS

People: NASH, John F., 1928-2015

Incorporating learning and fatigue effects in flowshop scheduling: a case study.

Authors: Paredes-Astudillo, Yenny Alexandra Botta-Genoulaz, Valérie Montoya-Torres, Jairo R. et al.

Source: International Journal of Production Research; Sep2025, Vol. 63 Issue 17, p6364-6383, 20p

Subject Terms: FLOW shop scheduling, FATIGUE (Physiology), CAPACITY requirements planning, DATA analysis, SUPERVISION, MULTI-objective optimization, SCHEDULING

Game-Theory-Based Task Offloading and Resource Scheduling in Cloud-Edge Collaborative Systems.

Authors: Wang, Suzhen Hu, Zhongbo Deng, Yongchen et al.

Source: Applied Sciences (2076-3417); Jun2022, Vol. 12 Issue 12, p6154, 20p

Subject Terms: PARTICLE swarm optimization, EDGE computing, RESOURCE allocation, MATHEMATICAL optimization, TASKS

Comprehensive review of additive manufacturing lifecycle optimization in a cloud environment: from distributed manufacturing to postprocessing.

Authors: Xiao, Xiaomin Fu, Guang Song, Pengpeng et al.

Source: Rapid Prototyping Journal; 2025, Vol. 31 Issue 3, p505-521, 17p

Subject Terms: MANUFACTURING processes, DECISION making, SCHEDULING

A new reliability‐based task scheduling algorithm in cloud computing.

Authors: Amini Motlagh, Aida Movaghar, Ali Rahmani, Amir Masoud

Source: International Journal of Communication Systems; Feb2022, Vol. 35 Issue 3, p1-29, 29p

Subject Terms: DIRECTED acyclic graphs, EVOLUTIONARY algorithms, HETEROGENEOUS computing, NP-complete problems, ALGORITHMS, PRODUCTION scheduling, CLOUD computing, RELIABILITY in engineering

Hybrid Heuristic Algorithm for Better Energy Optimization and Resource Utilization in Cloud Computing.

Authors: Al-Mahruqi, Ali Abdullah Hamed Morison, Gordon Stewart, Brian G. et al.

Source: Wireless Personal Communications; May2021, Vol. 118 Issue 1, p43-73, 31p

Subject Terms: HEURISTIC algorithms, CLOUD computing, POWER resources, COMPUTER scheduling, PARTICLE swarm optimization, WORKFLOW management systems, ON-demand computing

Metaheuristics for two-stage flow-shop assembly problem with a truncation learning function.

Authors: Wu, Chin-Chia Zhang, Xingong Azzouz, Ameni et al.

Source: Engineering Optimization; May2021, Vol. 53 Issue 5, p843-866, 24p

Subject Terms: GREEDY algorithms, METAHEURISTIC algorithms, FLOW shop scheduling, PRODUCTION scheduling, DIFFERENTIAL evolution, MACHINE shops, MAXIMUM power point trackers

Meta-heuristics for sustainable supply chain management: a review.

Authors: Faramarzi-Oghani, Sohrab Dolati Neghabadi, Parisa Talbi, El-Ghazali et al.

Source: International Journal of Production Research; Mar2023, Vol. 61 Issue 6, p1979-2009, 31p, 3 Diagrams, 8 Charts, 11 Graphs

Subject Terms: METAHEURISTIC algorithms, SUPPLY chain management, SUSTAINABILITY, GENETIC algorithms, SUPPLY chains, PRECISION farming

The evolution of production scheduling from Industry 3.0 through Industry 4.0.

Authors: Jiang, Zengqiang Yuan, Shuai Ma, Jing et al.

Source: International Journal of Production Research; Jun2022, Vol. 60 Issue 11, p3534-3554, 21p, 1 Color Photograph, 2 Diagrams, 7 Charts, 4 Graphs, 1 Map

Subject Terms: PRODUCTION scheduling, INDUSTRY 4.0, VALUE chains, PRODUCT design, INDUSTRIAL revolution, PRODUCTION methods