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Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition

https://doi.org/10.1016/j.swevo.2020.100745
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00170-015-7080-8openalex-snapshot
An improved model and novel simulated annealing for distributed job shop problems
inferredcites →https://doi.org/10.1007/s00500-016-2245-4openalex-snapshot
Robustness measures and robust scheduling for multi-objective stochastic flexible job shop scheduling problems
inferredcites →https://doi.org/10.1007/s10489-018-1343-7openalex-snapshot
A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm
inferredcites →https://doi.org/10.1007/s10845-015-1084-yopenalex-snapshot
Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms
inferredcites →https://doi.org/10.1007/s12293-018-00278-7openalex-snapshot
An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.cie.2019.07.036openalex-snapshot
A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem
inferredcites →https://doi.org/10.1016/j.cie.2020.106347openalex-snapshot
Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.compchemeng.2017.05.004openalex-snapshot
An energy-efficient multi-objective optimization for flexible job-shop scheduling problem
inferredcites →https://doi.org/10.1016/j.cor.2009.06.019openalex-snapshot
The distributed permutation flowshop scheduling problem
inferredcites →https://doi.org/10.1016/j.cor.2016.11.021openalex-snapshot
Effects of different chromosome representations in developing genetic algorithms to solve DFJS scheduling problems
inferredcites →https://doi.org/10.1016/j.ejor.2009.01.008openalex-snapshot
An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem
inferredcites →https://doi.org/10.1016/j.ejor.2014.05.024openalex-snapshot
A scatter search algorithm for the distributed permutation flowshop scheduling problem
inferredcites →https://doi.org/10.1016/j.engappai.2016.04.005openalex-snapshot
Agent-based fuzzy constraint-directed negotiation mechanism for distributed job shop scheduling
inferredcites →https://doi.org/10.1016/j.engappai.2018.09.005openalex-snapshot
Discrete differential evolution algorithm for distributed blocking flowshop scheduling with makespan criterion
inferredcites →https://doi.org/10.1016/j.eswa.2014.06.023openalex-snapshot
Modeling and heuristics for scheduling of distributed job shops
inferredcites →https://doi.org/10.1016/j.eswa.2019.01.062openalex-snapshot
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
inferredcites →https://doi.org/10.1016/j.eswa.2019.112920openalex-snapshot
A new history-guided multi-objective evolutionary algorithm based on decomposition for batching scheduling
inferredcites →https://doi.org/10.1016/j.ijpe.2013.05.004openalex-snapshot
An effective estimation of distribution algorithm for solving the distributed permutation flow-shop scheduling problem
inferredcites →https://doi.org/10.1016/j.jclepro.2015.09.097openalex-snapshot
Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption
inferredcites →https://doi.org/10.1016/j.jclepro.2017.04.018openalex-snapshot
Energy-conscious unrelated parallel machine scheduling under time-of-use electricity tariffs
inferredcites →https://doi.org/10.1016/j.jclepro.2018.06.137openalex-snapshot
A multi-objective approach to welding shop scheduling for makespan, noise pollution and energy consumption
inferredcites →https://doi.org/10.1016/j.jmsy.2019.05.004openalex-snapshot
Bi-objective optimization for a multistate job-shop production network using NSGA-II and TOPSIS
inferredcites →https://doi.org/10.1016/j.knosys.2019.104894openalex-snapshot
A distributed permutation flowshop scheduling problem with the customer order constraint
inferredcites →https://doi.org/10.1016/j.omega.2018.03.004openalex-snapshot
Iterated Greedy methods for the distributed permutation flowshop scheduling problem
inferredcites →https://doi.org/10.1016/j.promfg.2020.01.350openalex-snapshot
An Effective Multi-Objective Artificial Bee Colony Algorithm for Energy Efficient Distributed Job Shop Scheduling
inferredcites →https://doi.org/10.1016/j.suscom.2016.11.002openalex-snapshot
A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.swevo.2011.03.001openalex-snapshot
Multiobjective evolutionary algorithms: A survey of the state of the art
inferredcites →https://doi.org/10.1016/j.swevo.2016.06.002openalex-snapshot
A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem
inferredcites →https://doi.org/10.1016/j.swevo.2018.05.006openalex-snapshot
A swap sequence based Artificial Bee Colony algorithm for Traveling Salesman Problem
inferredcites →https://doi.org/10.1016/j.swevo.2019.02.003openalex-snapshot
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
inferredcites →https://doi.org/10.1016/j.swevo.2019.05.006openalex-snapshot
Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives
inferredcites →https://doi.org/10.1016/j.swevo.2019.100557openalex-snapshot
A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling
inferredcites →https://doi.org/10.1016/j.swevo.2019.100600openalex-snapshot
Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots
inferredcites →https://doi.org/10.1016/j.swevo.2020.100716openalex-snapshot
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm
inferredcites →https://doi.org/10.1023/a:1024653810491openalex-snapshot
A modified genetic algorithm for distributed scheduling problems
inferredcites →https://doi.org/10.1080/00207543.2012.752588openalex-snapshot
A Pareto-based estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem
inferredcites →https://doi.org/10.1080/00207543.2018.1504251openalex-snapshot
An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time
inferredcites →https://doi.org/10.1080/0951192x.2016.1187301openalex-snapshot
An improved MOEA/D for multi-objective job shop scheduling problem
inferredcites →https://doi.org/10.1109/tcyb.2018.2796119openalex-snapshot
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold
inferredcites →https://doi.org/10.1109/tevc.2007.892759openalex-snapshot
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
inferredcites →https://doi.org/10.1109/tsmc.2015.2416127openalex-snapshot
An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem
inferredcites →https://doi.org/10.1109/tsmc.2016.2616347openalex-snapshot
A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem
inferredcites →https://doi.org/10.1109/tsmc.2017.2788879openalex-snapshot
A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop
inferredcites →https://doi.org/10.1109/tsmc.2019.2916088openalex-snapshot
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems
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Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs
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Energy Supply Systems Predicting Model for the Integration of Long-Term Energy Planning Variables with Sustainable Livelihoods Approach in Remote Communities
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An Effective 4–Phased Framework for Scheduling Job-Shop Manufacturing Systems Using Weighted NSGA-II
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A Self-Adaptive Memetic Algorithm for Distributed Job Shop Scheduling Problem
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Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review
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Energy-efficient distributed flexible job shop scheduling with variable processing speeds: a Q-learning hyper-heuristic algorithm
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An improved memetic algorithm to solve the energy-efficient distributed flexible job shop scheduling problem with transportation and start-stop constraints
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Dynamic scheduling of patients in emergency departments.
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Design of Energy-efficient Production Systems : Economic and Energetic Performance
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