Related references
Note: Only part of the references are listed.Energy-efficient flexible flow shop scheduling with worker flexibility
Guiliang Gong et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
An effective memetic algorithm for multi-objective job-shop scheduling
Guiliang Gong et al.
KNOWLEDGE-BASED SYSTEMS (2019)
A memetic algorithm for multi-objective flexible job-shop problem with worker flexibility
Xuran Gong et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)
A new double flexible job-shop scheduling problem integrating processing time, green production, and human factor indicators
Guiliang Gong et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm
Hamed Piroozfard et al.
RESOURCES CONSERVATION AND RECYCLING (2018)
An elitist quantum-inspired evolutionary algorithm for the flexible job-shop scheduling problem
Xiuli Wu et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2017)
A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption
Deming Lei et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)
Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops
Liping Zhang et al.
ENERGY (2017)
Multi-objective optimization: A method for selecting the optimal solution from Pareto non-inferior solutions
Nuo Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
An energy-efficient multi-objective optimization for flexible job-shop scheduling problem
Hadi Mokhtari et al.
COMPUTERS & CHEMICAL ENGINEERING (2017)
An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times
Chao Lu et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
A hybrid genetic algorithm with two-stage dispatching heuristic for a machine scheduling problem with step-deteriorating jobs and rate-modifying activities
Byung Do Chung et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2016)
A branch population genetic algorithm for dual-resource constrained job shop scheduling problem
Jingyao Li et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2016)
A study on local search neighborhoods for the job shop scheduling problem with total weighted tardiness objective
J. Kuhpfahl et al.
COMPUTERS & OPERATIONS RESEARCH (2016)
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
Ran Cheng et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
Yuan Yuan et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)
A shuffled multi-swarm micro-migrating birds optimizer for a multi-resource-constrained flexible job shop scheduling problem
Liang Gao et al.
INFORMATION SCIENCES (2016)
A knowledge-guided fruit fly optimization algorithm for dual resource constrained flexible job-shop scheduling problem
Xiao-long Zheng et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2016)
A clustering-ranking method for many-objective optimization
Lei Cai et al.
APPLIED SOFT COMPUTING (2015)
Water cycle algorithm for solving constrained multi-objective optimization problems
Ali Sadollah et al.
APPLIED SOFT COMPUTING (2015)
A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem
Liang Gao et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2015)
Production planning in DRC systems considering worker performance
Z. S. Givi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2015)
Scatter search with path relinking for the flexible job shop scheduling problem
Miguel A. Gonzalez et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms
Yuan Yuan et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2015)
A Many-Objective Evolutionary Algorithm With Enhanced Mating and Environmental Selections
Jixiang Cheng et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2015)
An Algorithm for Many-Objective Optimization with Reduced Objective Computations: A Study in Differential Evolution
Sanghamitra Bandyopadhyay et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2015)
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization
Xingyi Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2015)
An effective neighborhood search for scheduling in dual-resource constrained interval job shop with environmental objective
Deming Lei et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2015)
Low-carbon scheduling and estimating for a flexible job shop based on carbon footprint and carbon efficiency of multi-job processing
Chaoyang Zhang et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2015)
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Kalyanmoy Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
Variable neighbourhood search for dual-resource constrained flexible job shop scheduling
Deming Lei et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2014)
Considering skills evolutions in multi-skilled workforce allocation with flexible working hours
El-Awady Attia et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2014)
Evolutionary Many-Objective Optimization Using Ensemble Fitness Ranking
Yuan Yuan et al.
GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (2014)
An effective lower bound on Lmax in a worker-constrained job shop
Benjamin J. Lobo et al.
COMPUTERS & OPERATIONS RESEARCH (2013)
An effective artificial bee colony algorithm for the flexible job-shop scheduling problem
Ling Wang et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)
Recent developments in Dual Resource Constrained (DRC) system research
J. Xu et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2011)
A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search
Ghasem Moslehi et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2011)
A survey of problems, solution techniques, and future challenges in scheduling semiconductor manufacturing operations
Lars Moench et al.
JOURNAL OF SCHEDULING (2011)
A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem
Mariano Frutos et al.
ANNALS OF OPERATIONS RESEARCH (2010)
Modelling worker fatigue and recovery in dual-resource constrained systems
M. Y. Jaber et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2010)
Cross-Trained Staffing Levels With Heterogeneous Learning/Forgetting
Sungsu Kim et al.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2010)
A model for the assignment of a set of tasks when work performance depends on experience of all tasks involved
Albert Corominas et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2010)
Corrections on the Box Plots of the Coverage Metric in Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection
Maoguo Gong et al.
EVOLUTIONARY COMPUTATION (2009)
A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem
ChaoYong Zhang et al.
COMPUTERS & OPERATIONS RESEARCH (2007)
Modelling inherent worker differences for workforce planning
Pornsarun Wirojanagud et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2007)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
Multi-level heterogeneous worker flexibility in a Dual Resource Constrained (DRC) job-shop
JT Felan et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2001)
Share Paper
