Results 61 to 70 of about 4,751,531 (301)

Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop Scheduling Problem

Systems, 2023
Permutation flow-shop scheduling is the strategy that ensures the processing of jobs on each subsequent machine in the exact same order while optimizing an objective, which generally is the minimization of makespan.
Iqbal Hayat, Adnan Tariq, Waseem Shahzad, Manzar Masud, Shahzad Ahmed, Muhammad Umair Ali, Amad Zafar   +6 more
doaj   +1 more source

A hybrid genetic approach to solve real make-to-order job shop scheduling problems [PDF]

, 1997
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro TecnologicoProcedimentos de busca local (ex. busca tabu) e algoritmos genéticos têm apresentado excelentes resultados em problemas clássicos de programação da produção em ambientes job ...
Candido, Marco Antonio Barbosa
core  

Scheduling practice and recent developments in flow shop and job shop scheduling

, 2009
Each plant and/or service provider performs several tasks to satisfy customer demand. Every task consumes several resources in order to be completed. Scheduling deals with the allocation of limited resources to tasks over time. Because the resources used
Yenisey, Mehmet Mutlu
core   +1 more source

Stochastic-2-m-reentrant-flow-shop-scheduling-instances

, 2023
Data instances for "robust scheduling in a two-machine re-entrant ow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian Activity Networks and phase-type distributions."
Lei Liu (14679124)
core   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Energy-aware scheduling optimization in hybrid flow shops using artificial bee colony algorithm

Journal of Mechanical Engineering and Sciences
Hybrid flow shop scheduling (HFS) involves optimizing production processes, where different manufacturing stages have varying capacities, combining parallel machine and flow shop scheduling to improve efficiency and reduce production time. Incorporating
Mohd Abdul Hadi Osman, M. F. F. Ab Rashid, N. M. Z. Nik Mohamed, M. A. N. Mu'tasim   +3 more
doaj   +1 more source

A Reinforcement Learning Method for a Hybrid Flow-Shop Scheduling Problem [PDF]

Algorithms, 2019
The scheduling problems in mass production, manufacturing, assembly, synthesis, and transportation, as well as internet services, can partly be attributed to a hybrid flow-shop scheduling problem (HFSP). To solve the problem, a reinforcement learning (RL) method for HFSP is studied for the first time in this paper.
Wei Han, Fang Guo, Xichao Su
openaire   +2 more sources

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Machine learning-embedded energy cost optimization for hybrid flow shop scheduling toward low-carbon industrial energy systems

Unconventional Resources
Reducing energy consumption in industrial scheduling has become a critical concern for sustainable manufacturing. This paper addresses energy-aware scheduling in a multi-stage hybrid flow shop (HFS) system by proposing a novel framework that integrates ...
Latifa Dekhici, Khaled Guerraiche, Aykut Fatih Güven, Mohit Bajaj, Vojtech Blazek, Lukas Prokop   +5 more
doaj   +1 more source

Differential Evolution Algorithm for the Earliness/Tardiness Hybrid Flow-shop Scheduling Problem

, 2009
In this paper, DE algorithm is presented to solve the earliness tardiness (UT) hybrid flow-shop scheduling problem (HFSP). The mathematical model of E/T based on DE is constructed and the key application steps in DE are also discussed in detail.
Han Zhonghua, Han ZH(韩忠华), Shi HB(史海波), Shi Haibo, Liu Chang, Liu C(刘昶)   +5 more
core   +1 more source