A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing

AN ENERGY-EFFICIENT BI-OBJECTIVE NO-WAIT PERMUTATION FLOWSHOP SCHEDULING PROBLEM TO MINIMIZE TOTAL TARDINESS AND TOTAL ENERGY CONSUMPTION

(2020) Damla Yüksel et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems

(2020) Xiaoqiu Shi et al.   PLoS One

Iterated greedy algorithms enhanced by hyper-heuristic based learning for hybrid flexible flowshop scheduling problem with sequence dependent setup times: A case study at a manufacturing plant

(2020) Fehmi Burcin Ozsoydan et al.   COMPUTERS & OPERATIONS RESEARCH

An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times

(2020) Yingli Li et al.   COMPUTERS & INDUSTRIAL ENGINEERING

No-wait two-stage flowshop problem with multi-task flexibility of the first machine

(2020) Jianming Dong et al.   INFORMATION SCIENCES

Genetic Optimization of Energy- and Failure-Aware Continuous Production Scheduling in Pasta Manufacturing

(2019) Ke Shen et al.   SENSORS

Multi objective lotsizing and scheduling with material constraints in flexible parallel lines using a Pareto based guided artificial bee colony algorithm

(2019) Lei Yue et al.   COMPUTERS & INDUSTRIAL ENGINEERING

The economic lot scheduling problem in limited-buffer flexible flow shops: Mathematical models and a discrete fruit fly algorithm

(2019) Hassan Zohali et al.   APPLIED SOFT COMPUTING

A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem

(2019) Biao Zhang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors – A case study

(2019) M.K. Marichelvam et al.   COMPUTERS & OPERATIONS RESEARCH

Framework for modeling operational uncertainty to optimize offsite production scheduling of precast components

(2018) Zhaojing Wang et al.   AUTOMATION IN CONSTRUCTION

Industrial Internet of Things: Challenges, Opportunities, and Directions

(2018) Emiliano Sisinni et al.   IEEE Transactions on Industrial Informatics

GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem

(2018) Jia Luo et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Study on optimizing production scheduling for water-saving in textile dyeing industry

(2017) Lu Zhou et al.   JOURNAL OF CLEANER PRODUCTION

An effective new island model genetic algorithm for job shop scheduling problem

(2016) Mohamed Kurdi   COMPUTERS & OPERATIONS RESEARCH

Optimization of steel production scheduling with complex time-sensitive electricity cost

(2015) Hubert Hadera et al.   COMPUTERS & CHEMICAL ENGINEERING

An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process

(2015) Kun Mao et al.   IEEE Transactions on Automation Science and Engineering

Solving very large instances of the scheduling of independent tasks problem on the GPU

(2012) Frédéric Pinel et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Modified genetic algorithms for solving fuzzy flow shop scheduling problems and their implementation with CUDA

(2011) Chieh-Sen Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A swarm optimization approach for flexible flow shop scheduling with multiprocessor tasks

(2011) Manas Ranjan Singh et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Solving flexible flow-shop problem with a hybrid genetic algorithm and data mining: A fuzzy approach

(2010) H. Khademi Zare et al.   EXPERT SYSTEMS WITH APPLICATIONS