MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times
出版年份 2023 全文链接
标题
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times
作者
关键词
-
出版物
Swarm and Evolutionary Computation
Volume 82, Issue -, Pages 101374
出版商
Elsevier BV
发表日期
2023-08-06
DOI
10.1016/j.swevo.2023.101374
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。- Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
- (2022) Leilei Meng et al. Swarm and Evolutionary Computation
- Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem
- (2020) Leilei Meng et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization
- (2019) Shu Luo et al. JOURNAL OF CLEANER PRODUCTION
- A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop
- (2018) Deming Lei et al. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
- A green scheduling algorithm for flexible job shop with energy-saving measures
- (2018) Xiuli Wu et al. JOURNAL OF CLEANER PRODUCTION
- Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions
- (2018) Jun-qing Li et al. JOURNAL OF CLEANER PRODUCTION
- A memetic differential evolution algorithm for energy-efficient parallel machine scheduling
- (2018) Xueqi Wu et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem
- (2018) Xiao-Long Zheng et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Multi-Objective Flexible Flow Shop Scheduling Problem Considering Variable Processing Time due to Renewable Energy
- (2018) Xiuli Wu et al. Sustainability
- An Efficient Optimization Algorithm for Resource-Constrained Steelmaking Scheduling Problems
- (2018) Junqing Li et al. IEEE Access
- Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines
- (2018) Leilei Meng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- MILP models for energy-aware flexible job shop scheduling problem
- (2018) Leilei Meng et al. JOURNAL OF CLEANER PRODUCTION
- Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops
- (2017) Liping Zhang et al. ENERGY
- Improved mixed-integer linear programming model and heuristics for bi-objective single-machine batch scheduling with energy cost consideration
- (2017) Shibohua Zhang et al. ENGINEERING OPTIMIZATION
- Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm
- (2017) Lvjiang Yin et al. Advances in Mechanical Engineering
- A shuffled multi-swarm micro-migrating birds optimizer for a multi-resource-constrained flexible job shop scheduling problem
- (2016) Liang Gao et al. INFORMATION SCIENCES
- 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
- A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption
- (2016) Deming Lei et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Bi-objective optimization of a single machine batch scheduling problem with energy cost consideration
- (2016) Shijin Wang et al. JOURNAL OF CLEANER PRODUCTION
- Energy-Efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm
- (2016) Lvjiang Yin et al. Sustainability
- Energy-efficient approach to minimizing the energy consumption in an extended job-shop scheduling problem
- (2015) Dunbing Tang et al. Chinese Journal of Mechanical Engineering
- MOSFLA-MRPP: Multi-Objective Shuffled Frog-Leaping Algorithm applied to Mobile Robot Path Planning
- (2015) Alejandro Hidalgo-Paniagua et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A shuffled frog-leaping algorithm for hybrid flow shop scheduling with two agents
- (2015) Deming Lei et al. EXPERT SYSTEMS WITH APPLICATIONS
- A genetic algorithm for energy-efficiency in job-shop scheduling
- (2015) Miguel A. Salido et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Reducing environmental impact of production during a Rolling Blackout policy – A multi-objective schedule optimisation approach
- (2015) Ying Liu et al. JOURNAL OF CLEANER PRODUCTION
- A multi-objective teaching−learning-based optimization algorithm to scheduling in turning processes for minimizing makespan and carbon footprint
- (2015) Wenwen Lin et al. JOURNAL OF CLEANER PRODUCTION
- 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
- Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm
- (2011) Mehmet Bayram Yildirim et al. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
- An effective shuffled frog-leaping algorithm for multi-mode resource-constrained project scheduling problem
- (2011) Ling Wang et al. INFORMATION SCIENCES
- An effective shuffled frog-leaping algorithm for lot-streaming flow shop scheduling problem
- (2010) Quan-Ke Pan et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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