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。LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling
Zhongshi Shao et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2023)
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design
Junwei Dong et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem
Guanghui Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2022)
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times
Sezin Afsar et al.
SWARM AND EVOLUTIONARY COMPUTATION (2022)
A bi-level memetic algorithm for the integrated order and vehicle scheduling in a RMFS
Sander Teck et al.
APPLIED SOFT COMPUTING (2022)
A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling
Jing-jing Wang et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2022)
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling
Jing-Jing Wang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2022)
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems
Quan-Ke Pan et al.
IEEE TRANSACTIONS ON CYBERNETICS (2022)
An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs
Weishi Shao et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Yingli Li et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)
A shuffled frog-leaping algorithm with memeplex quality for bi-objective distributed scheduling in hybrid flow shop
Jingcao Cai et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)
Production planning and scheduling in multi-factory production networks: a systematic literature review
Jacob Lohmer et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)
An adaptive and opposite K-means operation based memetic algorithm for data clustering
Xi Wang et al.
NEUROCOMPUTING (2021)
Distributed Scheduling Problems in Intelligent Manufacturing Systems
Yaping Fu et al.
TSINGHUA SCIENCE AND TECHNOLOGY (2021)
A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop
Jing-Jing Wang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)
Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming
Tzu-Li Chen et al.
ANNALS OF OPERATIONS RESEARCH (2020)
Solving distributed two-stage hybrid flowshop scheduling using a shuffled frog-leaping algorithm with memeplex grouping
Deming Lei et al.
ENGINEERING OPTIMIZATION (2020)
Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem
Weishi Shao et al.
KNOWLEDGE-BASED SYSTEMS (2020)
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop
Jie Zheng et al.
KNOWLEDGE-BASED SYSTEMS (2020)
A memetic algorithm for joint production and distribution scheduling with due dates
Ece Yagmur et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
Hybrid enhanced discrete fruit fly optimization algorithm for scheduling blocking flow-shop in distributed environment
Zhongshi Shao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption
Hande Oztop et al.
SWARM AND EVOLUTIONARY COMPUTATION (2020)
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times
Yingli Li et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem
Biao Zhang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)
A review of energy-efficient scheduling in intelligent production systems
Kaizhou Gao et al.
COMPLEX & INTELLIGENT SYSTEMS (2020)
Nature-inspired heuristic paradigms for parameter estimation of control autoregressive moving average systems
Ammara Mehmood et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Iterated Greedy methods for the distributed permutation flowshop scheduling problem
Ruben Ruiz et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2019)
Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines
Leilei Meng et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)
Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives
Ming Li et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
Quan-Ke Pan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
A Pareto-Based Estimation of Distribution Algorithm for Solving Multiobjective Distributed No-Wait Flow-Shop Scheduling Problem With Sequence-Dependent Setup Time
Weishi Shao et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)
Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
Yaping Fu et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Efficiency of the solution representations for the hybrid flow shop scheduling problem with makespan objective
Victor Fernandez-Viagas et al.
COMPUTERS & OPERATIONS RESEARCH (2019)
A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm
Imen Chaouch et al.
APPLIED INTELLIGENCE (2019)
A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling
Jing-fang Chen et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
MOEA based memetic algorithms for multi-objective satellite range scheduling problem
Yonghao Du et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Solving Distributed Hybrid Flowshop Scheduling Problems by a Hybrid Brain Storm Optimization Algorithm
Jian-Hua Hao et al.
IEEE ACCESS (2019)
An Iterated Greedy Algorithm for Distributed Hybrid Flowshop Scheduling Problem with Total Tardiness Minimization
Jing-jing Wang et al.
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) (2019)
Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system
Muhammad Asif Zahoor Raja et al.
NEURAL COMPUTING & APPLICATIONS (2018)
The distributed permutation flow shop to minimise the total flowtime
Victor Fernandez-Viagas et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2018)
Minimizing makespan for the distributed hybrid flowshop scheduling problem with multiprocessor tasks
Kuo-Ching Ying et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
A Novel Teaching-Learning-Based Optimization Algorithm for Energy-Efficient Scheduling in Hybrid Flow Shop
Deming Lei et al.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2018)
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling
Xiao-Ning Shen et al.
INFORMATION SCIENCES (2018)
Simulation-based model for the optimization of machining parameters in a metal-cutting operation
Hernan Chavez-Garcia et al.
SIMULATION MODELLING PRACTICE AND THEORY (2018)
A machine-learning based memetic algorithm for the multi-objective permutation flowshop scheduling problem
Xianpeng Wang et al.
COMPUTERS & OPERATIONS RESEARCH (2017)
Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization
Dunbing Tang et al.
COMPUTERS IN INDUSTRY (2016)
Carbon-efficient scheduling of flow shops by multi-objective optimization
Jian-Ya Ding et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2016)
An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
Xinyu Li et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2016)
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
Rui Zhang et al.
JOURNAL OF CLEANER PRODUCTION (2016)
A method for minimizing the energy consumption of machining system: integration of process planning and scheduling
Zhongwei Zhang et al.
JOURNAL OF CLEANER PRODUCTION (2016)
A survey of multi-factory scheduling
J. Behnamian et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2016)
Minimizing cost-related objective in synchronous scheduling of parallel factories in the virtual production network
J. Behnamian et al.
APPLIED SOFT COMPUTING (2015)
Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem
Yi Mei et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)
A Multi-Facet Survey on Memetic Computation
Xianshun Chen et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)
Structure principles of energy efficient machine tools
R. Neugebauer et al.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2011)
The distributed permutation flowshop scheduling problem
B. Naderi et al.
COMPUTERS & OPERATIONS RESEARCH (2010)
The hybrid flow shop scheduling problem
Ruben Ruiz et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2010)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
A review of metrics on permutations for search landscape analysis
Tommaso Schiavinotto et al.
COMPUTERS & OPERATIONS RESEARCH (2007)
Performance assessment of multiobjective optimizers: An analysis and review
E Zitzler et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)