Cargando…

Multi-objective flexible job-shop scheduling problem using modified discrete particle swarm optimization

Taking resource allocation into account, flexible job shop problem (FJSP) is a class of complex scheduling problem in manufacturing system. In order to utilize the machine resources rationally, multi-objective particle swarm optimization (MOPSO) integrating with variable neighborhood search is intro...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Song, Tian, Na, Wang, Yan, Ji, Zhicheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2016
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005237/ https://www.ncbi.nlm.nih.gov/pubmed/27652008 http://dx.doi.org/10.1186/s40064-016-3054-z

Ejemplares similares

An Improved African Vulture Optimization Algorithm for Dual-Resource Constrained Multi-Objective Flexible Job Shop Scheduling Problems
por: He, Zhou, et al.
Publicado: (2022)

An Improved Genetic Algorithm for Solving the Multi-AGV Flexible Job Shop Scheduling Problem
por: Meng, Leilei, et al.
Publicado: (2023)

Bi-Objective Flexible Job-Shop Scheduling Problem Considering Energy Consumption under Stochastic Processing Times
por: Yang, Xin, et al.
Publicado: (2016)

Discrete Bat Algorithm for Optimal Problem of Permutation Flow Shop Scheduling
por: Luo, Qifang, et al.
Publicado: (2014)

Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems
por: Shi, Xiaoqiu, et al.
Publicado: (2020)

An Approach to Integrated Scheduling of Flexible Job-Shop Considering Conflict-Free Routing Problems
por: Sun, Jiachen, et al.
Publicado: (2023)

Multi-objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology
por: Li, Yingli, et al.
Publicado: (2020)

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence
por: Vali, Masoumeh, et al.
Publicado: (2022)

Minimizing the makespan and carbon emissions in the green flexible job shop scheduling problem with learning effects
por: Li, Zhi, et al.
Publicado: (2023)

A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem
por: Escamilla Serna, Nayeli Jazmin, et al.
Publicado: (2021)

Research of Flexible Assembly Job-Shop Batch–Scheduling Problem Based on Improved Artificial Bee Colony
por: Li, Xiulin, et al.
Publicado: (2022)

Multi-Objective and Parallel Particle Swarm Optimization Algorithm for Container-Based Microservice Scheduling
por: Chen, Xinying, et al.
Publicado: (2021)

A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem †
por: Viana, Monique Simplicio, et al.
Publicado: (2020)

A Genetic Approach to the Job Shop Scheduling Problem with Interval Uncertainty
por: Díaz, Hernán, et al.
Publicado: (2020)

Day Surgery Scheduling and Optimization in Large Public Hospitals in China: A Three-Station Job Shop Scheduling Problem
por: Bai, Xue, et al.
Publicado: (2022)

A modified particle swarm optimization algorithm for a vehicle scheduling problem with soft time windows
por: Qiao, Jinwei, et al.
Publicado: (2023)

Hybrid Quantum Annealing Heuristic Method for Solving Job Shop Scheduling Problem
por: Kurowski, Krzysztof, et al.
Publicado: (2020)

Evaluating the job shop scheduling problem on a D-wave quantum annealer
por: Carugno, Costantino, et al.
Publicado: (2022)

A Self-Adjusting Search Domain Method-Based Genetic Algorithm for Solving Flexible Job Shop Scheduling Problem
por: Li, Bin, et al.
Publicado: (2022)

Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities
por: Li, Jun-qing, et al.
Publicado: (2014)

Research on multi-agent genetic algorithm based on tabu search for the job shop scheduling problem
por: Peng, Chong, et al.
Publicado: (2019)

Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization
por: Mousavi, Maryam, et al.
Publicado: (2017)

A DNA algorithm for the job shop scheduling problem based on the Adleman-Lipton model
por: Tian, Xiang, et al.
Publicado: (2020)

A computational efficient optimization of flow shop scheduling problems
por: Liang, Zhongyuan, et al.
Publicado: (2022)

Fault Reconfiguration in Distribution Networks Based on Improved Discrete Multimodal Multi-Objective Particle Swarm Optimization Algorithm
por: Li, Xin, et al.
Publicado: (2023)

A clustering-based competitive particle swarm optimization with grid ranking for multi-objective optimization problems
por: Ye, Qianlin, et al.
Publicado: (2023)

Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems
por: Ferreira, Inês C., et al.
Publicado: (2020)

Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition
por: Wu, Yi-Ling, et al.
Publicado: (2013)

A Bee Evolutionary Guiding Nondominated Sorting Genetic Algorithm II for Multiobjective Flexible Job-Shop Scheduling
por: Deng, Qianwang, et al.
Publicado: (2017)

Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation
por: Zang, Zelin, et al.
Publicado: (2019)

Environment-Aware Production Scheduling for Paint Shops in Automobile Manufacturing: A Multi-Objective Optimization Approach
por: Zhang, Rui
Publicado: (2017)

A deep memory bare-bones particle swarm optimization algorithm for single-objective optimization problems
por: Sun, Yule, et al.
Publicado: (2023)

A New Frequency Analysis Operator for Population Improvement in Genetic Algorithms to Solve the Job Shop Scheduling Problem †
por: Viana, Monique Simplicio, et al.
Publicado: (2022)

R2-Based Multi/Many-Objective Particle Swarm Optimization
por: Díaz-Manríquez, Alan, et al.
Publicado: (2016)

Improved multi-objective clustering algorithm using particle swarm optimization
por: Gong, Congcong, et al.
Publicado: (2017)

Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids
por: Christobel, M., et al.
Publicado: (2015)

Particle swarm optimization using multi-information characteristics of all personal-best information
por: Huang, Song, et al.
Publicado: (2016)

Multi-Objective Path Optimization in Fog Architectures Using the Particle Swarm Optimization Approach
por: Morkevičius, Nerijus, et al.
Publicado: (2023)

A synergetic combination of small and large neighborhood schemes in developing an effective procedure for solving the job shop scheduling problem
por: Amirghasemi, Mehrdad, et al.
Publicado: (2014)

Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm
por: Liu, Mengqi, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_i8qtf5p5gqgigd97rvtpa22d2a