Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm
出版年份 2020 全文链接
标题
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm
作者
关键词
Distributed permutation flow-shop scheduling, Sustainable manufacturing, Energy-efficiency, Non-identical factory, Multi-objective optimization, Triple bottom line
出版物
Swarm and Evolutionary Computation
Volume 60, Issue -, Pages 100803
出版商
Elsevier BV
发表日期
2020-11-12
DOI
10.1016/j.swevo.2020.100803
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system
- (2020) Junliang Wang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Modified honey bees mating optimization algorithm for multi-objective uncertain integrated process planning and scheduling problem
- (2020) Xiaoyu Wen et al. International Journal of Advanced Robotic Systems
- Analysis of energy saving potentials in intelligent manufacturing: A case study of bakery plants
- (2019) Yanxia Wang et al. ENERGY
- A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling
- (2019) Kunkun Peng et al. Swarm and Evolutionary Computation
- Stock price prediction based on deep neural networks
- (2019) Pengfei Yu et al. NEURAL COMPUTING & APPLICATIONS
- Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
- (2019) Quan-Ke Pan et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Pareto-Based Estimation of Distribution Algorithm for Solving Multiobjective Distributed No-Wait Flow-Shop Scheduling Problem With Sequence-Dependent Setup Time
- (2019) Weishi Shao et al. IEEE Transactions on Automation Science and Engineering
- Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
- (2019) Yaping Fu et al. JOURNAL OF CLEANER PRODUCTION
- Fog-IBDIS: Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems
- (2019) Junliang Wang et al. Engineering
- Multi-objective optimization for location-based and preferences-aware recommendation
- (2019) Shanfeng Wang et al. INFORMATION SCIENCES
- The distributed permutation flow shop to minimise the total flowtime
- (2018) Victor Fernandez-Viagas et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Grey wolf optimizer with cellular topological structure
- (2018) Chao Lu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Local Search Methods for a Distributed Assembly No-Idle Flow Shop Scheduling Problem
- (2018) Weishi Shao et al. IEEE Systems Journal
- An Effective Multi-Objective Algorithm for Energy Efficient Scheduling in a Real-Life Welding Shop
- (2018) Xinyu Li et al. IEEE Transactions on Industrial Informatics
- A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
- (2018) Xingyi Zhang et al. INFORMATION SCIENCES
- A multi-objective approach to welding shop scheduling for makespan, noise pollution and energy consumption
- (2018) Chao Lu et al. JOURNAL OF CLEANER PRODUCTION
- Metrics-based approach to evaluate sustainable manufacturing performance at the production line and plant levels
- (2018) Aihua Huang et al. JOURNAL OF CLEANER PRODUCTION
- Multi-criteria decision analysis framework for sustainable manufacturing in automotive industry
- (2018) Stella Stoycheva et al. JOURNAL OF CLEANER PRODUCTION
- Iterated Greedy methods for the distributed permutation flowshop scheduling problem
- (2018) Rubén Ruiz et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution
- (2018) Wenyin Gong et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Discrete differential evolution algorithm for distributed blocking flowshop scheduling with makespan criterion
- (2018) Guanghui Zhang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
- (2018) Hong-Yan Sang et al. Swarm and Evolutionary Computation
- A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
- (2018) Chao Lu et al. APPLIED SOFT COMPUTING
- Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops
- (2017) Liping Zhang et al. ENERGY
- An effective multi-objective genetic algorithm based on immune principle and external archive for multi-objective integrated process planning and scheduling
- (2017) Guofu Luo et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
- (2017) Chao Lu et al. JOURNAL OF CLEANER PRODUCTION
- Instance cloned extreme learning machine
- (2017) Yongshan Zhang et al. PATTERN RECOGNITION
- A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem
- (2017) Jin Deng et al. Swarm and Evolutionary Computation
- A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem
- (2017) Jian Lin et al. Swarm and Evolutionary Computation
- Deep feature weighting for naive Bayes and its application to text classification
- (2016) Liangxiao Jiang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance
- (2016) Ying Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Reduction of carbon emissions and project makespan by a Pareto-based estimation of distribution algorithm
- (2015) Huan-yu Zheng et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- A scatter search algorithm for the distributed permutation flowshop scheduling problem
- (2014) Bahman Naderi et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An effective hybrid immune algorithm for solving the distributed permutation flow-shop scheduling problem
- (2013) Ye Xu et al. ENGINEERING OPTIMIZATION
- A hybrid genetic algorithm for the distributed permutation flowshop scheduling problem
- (2013) Jian Gao et al. International Journal of Computational Intelligence Systems
- Minimising makespan in distributed permutation flowshops using a modified iterated greedy algorithm
- (2013) Shih-Wei Lin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
- (2013) Min Dai et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Parameter extraction of solar cell models using repaired adaptive differential evolution
- (2013) Wenyin Gong et al. SOLAR ENERGY
- Swarm intelligence for traffic light scheduling: Application to real urban areas
- (2011) J. García-Nieto et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- The distributed permutation flowshop scheduling problem
- (2009) B. Naderi et al. COMPUTERS & OPERATIONS RESEARCH
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
- (2008) Hui Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now