Many-objective cloud manufacturing service selection and scheduling with an evolutionary algorithm based on adaptive environment selection strategy
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Many-objective cloud manufacturing service selection and scheduling with an evolutionary algorithm based on adaptive environment selection strategy
Authors
Keywords
Cloud manufacturing, Many-objective evolutionary algorithm, Manufacturing service scheduling, Adaptive penalty boundary intersection
Journal
APPLIED SOFT COMPUTING
Volume 112, Issue -, Pages 107737
Publisher
Elsevier BV
Online
2021-07-29
DOI
10.1016/j.asoc.2021.107737
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-user-oriented manufacturing service scheduling with an improved NSGA-II approach in the cloud manufacturing system
- (2021) Tianri Wang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A Pareto based discrete Jaya algorithm for multi-objective flexible job shop scheduling problem
- (2021) Rylan H. Caldeira et al. EXPERT SYSTEMS WITH APPLICATIONS
- A many-objective evolutionary algorithm with diversity-first based environmental selection
- (2020) Chao Wang et al. Swarm and Evolutionary Computation
- An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation
- (2020) Jiajun Zhou et al. APPLIED SOFT COMPUTING
- An Adaptive Clustering-based Evolutionary Algorithm for Many-objective Optimization Problems
- (2020) Songbai Liu et al. INFORMATION SCIENCES
- An optimal service selection approach for service-oriented business collaboration using crowd-based cooperative computing
- (2020) Lu Zhao et al. APPLIED SOFT COMPUTING
- Privacy-preserving incentive mechanism for multi-leader multi-follower IoT-edge computing market: A reinforcement learning approach
- (2020) Huiying Xu et al. JOURNAL OF SYSTEMS ARCHITECTURE
- An adaptive decomposition evolutionary algorithm based on environmental information for many-objective optimization
- (2020) Zhihui Wei et al. ISA TRANSACTIONS
- An angle dominance criterion for evolutionary many-objective optimization
- (2019) Yuan Liu et al. INFORMATION SCIENCES
- Cloud manufacturing: challenges, recent advances, open research issues, and future trends
- (2019) Einollah Jafarnejad Ghomi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Multi-Objective Service Selection and Scheduling with Linguistic Preference in Cloud Manufacturing
- (2019) Wei He et al. Sustainability
- An evolutionary game approach for manufacturing service allocation management in cloud manufacturing
- (2019) Tianri Wang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
- (2019) Ehsan Aghamohammadzadeh et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Consensus aware manufacturing service collaboration optimization under blockchain based Industrial Internet platform
- (2019) Yongping Zhang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Cloud manufacturing service composition and optimal selection with sustainability considerations: a multi-objective integer bi-level multi-follower programming approach
- (2019) Yanxia Wu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Scheduling of manufacturers based on chaos optimization algorithm in cloud manufacturing
- (2019) Yanjuan Hu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach
- (2019) David J. Walker et al. APPLIED SOFT COMPUTING
- Multi-perspective collaborative scheduling using extended genetic algorithm with interval-valued intuitionistic fuzzy entropy weight method
- (2019) Wenyu Zhang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search
- (2019) Jiajun Zhou et al. INFORMATION SCIENCES
- A cloud service platform integrating additive and subtractive manufacturing with high resource efficiency
- (2019) Cheng Qian et al. JOURNAL OF CLEANER PRODUCTION
- Multi-phase integrated scheduling of hybrid tasks in cloud manufacturing environment
- (2019) Yuanjun Laili et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework
- (2019) Deepak Sharma et al. Swarm and Evolutionary Computation
- AnD: A Many-Objective Evolutionary Algorithm with Angle-based Selection and Shift-based Density Estimation
- (2018) Zhi-Zhong Liu et al. INFORMATION SCIENCES
- Scheduling in cloud manufacturing: state-of-the-art and research challenges
- (2018) Yongkui Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm
- (2018) Hamed Piroozfard et al. RESOURCES CONSERVATION AND RECYCLING
- Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm
- (2018) Kaizhou Gao et al. IEEE Transactions on Cybernetics
- Multi-objective optimisation of multi-task scheduling in cloud manufacturing
- (2018) Feng Li et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Ensemble mating selection in evolutionary many-objective search
- (2018) Yu-Hui Zhang et al. APPLIED SOFT COMPUTING
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
- (2017) Ye Tian et al. IEEE Computational Intelligence Magazine
- A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization
- (2017) Shouyong Jiang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Cloud manufacturing service selection optimization and scheduling with transportation considerations: mixed-integer programming models
- (2017) Hossein Akbaripour et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- IoT powered servitization of manufacturing – an exploratory case study
- (2017) Anna Rymaszewska et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Analytical target cascading for optimal configuration of cloud manufacturing services
- (2017) Yingfeng Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Workload-based multi-task scheduling in cloud manufacturing
- (2017) Yongkui Liu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy
- (2017) Yiping Liu et al. IEEE Transactions on Cybernetics
- A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
- (2016) Ran Cheng et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
- (2016) Yuan Yuan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A multi-objective algorithm for task scheduling and resource allocation in cloud-based disassembly
- (2016) Hui Jiang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing
- (2016) Minghai Yuan et al. OPTIMIZATION METHODS & SOFTWARE
- Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization
- (2015) Handing Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems
- (2015) Hisao Ishibuchi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization
- (2015) Xingyi Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
- (2015) Ke Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
- (2015) Xingyi Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A TQCS-based service selection and scheduling strategy in cloud manufacturing
- (2015) Yang Cao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Research on services encapsulation and virtualization access model of machine for cloud manufacturing
- (2015) Yingfeng Zhang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Manufacturing task semantic modeling and description in cloud manufacturing system
- (2014) Tianri Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
- (2013) Shengxiang Yang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- (2013) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization
- (2013) Miqing Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems
- (2013) Hai-Lin Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms
- (2013) Zhenan He et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- From cloud computing to cloud manufacturing
- (2011) Xun Xu ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
- (2010) Johannes Bader et al. EVOLUTIONARY COMPUTATION
- A New Evolutionary Algorithm for Solving Many-Objective Optimization Problems
- (2008) Xiufen Zou et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Add 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 NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started