4.7 Article

An Effective Solution Space Clipping-Based Algorithm for Large-Scale Permutation Flow Shop Scheduling Problem

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。
Article Engineering, Industrial

An efficient critical path based method for permutation flow shop scheduling problem

Yang Li et al.

Summary: This paper proposes an efficient search method based on critical path for the permutation flow shop scheduling problem (PFSP). By defining the concept of critical path and key points, presenting three theorems, and developing a new neighborhood search method, the proposed algorithm achieves significant improvements in accuracy and efficiency. Comparative experiments validate the effectiveness of the method.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

An improved simulated annealing algorithm based on residual network for permutation flow shop scheduling

Yang Li et al.

Summary: This paper proposes an improved simulated annealing (SA) algorithm based on residual network (SARes) for the permutation flow shop scheduling problem (PFSP), which aims to enhance algorithm performance and search efficiency in dealing with complex scheduling problems.

COMPLEX & INTELLIGENT SYSTEMS (2021)

Article Computer Science, Information Systems

Distributed Scheduling Problems in Intelligent Manufacturing Systems

Yaping Fu et al.

Summary: Manufacturing enterprises are facing fierce market competition and have to extend production mode into distributed environments. Distributed manufacturing systems are widely adopted in industrial production, requiring research on modeling and optimization of distributed scheduling problems.

TSINGHUA SCIENCE AND TECHNOLOGY (2021)

Article Automation & Control Systems

Biobjective Task Scheduling for Distributed Green Data Centers

Haitao Yuan et al.

Summary: The research aims to maximize profit and minimize task loss for DGDCs by jointly determining the task split among multiple ISPs. A new method utilizing the SBDE algorithm is proposed to solve a multiobjective optimization problem, achieving lower task loss and larger profit than existing algorithms. Future work should focus on real-time green energy prediction and integrating it with task scheduling for greener data centers.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2021)

Article Computer Science, Information Systems

Temporal Task Scheduling of Multiple Delay-Constrained Applications in Green Hybrid Cloud

Haitao Yuan et al.

Summary: Global companies are increasingly choosing Green Data Centers to manage delay-constrained applications, and the use of hybrid cloud technology to address the scheduling challenge, but temporal variations in factors make efficiency difficult. The study proposes a scheduling algorithm based on temporal variation and solves the maximization problem through an optimization algorithm to achieve greater profits.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2021)

Article Automation & Control Systems

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)

Article Computer Science, Artificial Intelligence

A memetic algorithm with novel semi-constructive evolution operators for permutation flowshop scheduling problem

Mohamed Kurdi

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Artificial Intelligence

A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing

K. Z. Gao et al.

SWARM AND EVOLUTIONARY COMPUTATION (2020)

Article Automation & Control Systems

Scheduling Dual-Objective Stochastic Hybrid Flow Shop With Deteriorating Jobs via Bi-Population Evolutionary Algorithm

Yaping Fu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)

Review Computer Science, Artificial Intelligence

A review of energy-efficient scheduling in intelligent production systems

Kaizhou Gao et al.

COMPLEX & INTELLIGENT SYSTEMS (2020)

Article Computer Science, Interdisciplinary Applications

Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time

Xinyu Li et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

Article Automation & Control Systems

Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds

Haitao Yuan et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Automation & Control Systems

An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop

Xinyu Li et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)

Review Automation & Control Systems

A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems

Kaizhou Gao et al.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2019)

Article Computer Science, Interdisciplinary Applications

Efficient simulated annealing based solution approaches to the competitive single and multiple allocation hub location problems

Nader Ghaffarinasab et al.

COMPUTERS & OPERATIONS RESEARCH (2018)

Article Computer Science, Artificial Intelligence

A discrete Water Wave Optimization algorithm for no-wait flow shop scheduling problem

Fuqing Zhao et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Automation & Control Systems

Methods for Scheduling Problems Considering Experience, Learning, and Forgetting Effects

Xiaoping Li et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

Article Automation & Control Systems

A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem

Xiao-Long Zheng et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

Article Automation & Control Systems

Petri Nets and Deadlock-Free Scheduling of Open Shop Manufacturing Systems

Gonzalo Mejia et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

Article Computer Science, Information Systems

Cost-aware request routing in multi-geography cloud data centres using software-defined networking

Haitao Yuan et al.

ENTERPRISE INFORMATION SYSTEMS (2017)

Article Engineering, Multidisciplinary

An extended continuous estimation of distribution algorithm for solving the permutation flow-shop scheduling problem

Zhongshi Shao et al.

ENGINEERING OPTIMIZATION (2017)

Article Engineering, Industrial

A new improved NEH heuristic for permutation flowshop scheduling problems

Weibo Liu et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2017)

Article Computer Science, Artificial Intelligence

A self-guided differential evolution with neighborhood search for permutation flow shop scheduling

Weishi Shao et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Engineering, Industrial

An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

Xinyu Li et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2016)

Article Automation & Control Systems

An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem

Sheng-Yao Wang et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem

Jian-Ya Ding et al.

APPLIED SOFT COMPUTING (2015)

Article Management

New hard benchmark for flowshop scheduling problems minimising makespan

Eva Vallada et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)

Article Computer Science, Interdisciplinary Applications

An effective hybrid teaching-learning-based optimization algorithm for permutation flow shop scheduling problem

Zhanpeng Xie et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

Article Mathematics, Applied

An effective differential evolution algorithm for permutation flow shop scheduling problem

Ying Liu et al.

APPLIED MATHEMATICS AND COMPUTATION (2014)

Article Computer Science, Interdisciplinary Applications

An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure

Xiangtao Li et al.

ADVANCES IN ENGINEERING SOFTWARE (2013)

Article Computer Science, Artificial Intelligence

A hybrid discrete artificial bee colony algorithm for permutation flowshop scheduling problem

Yan-Feng Liu et al.

APPLIED SOFT COMPUTING (2013)

Article Engineering, Industrial

Scheduling flow shops with blocking using a discrete self-organising migrating algorithm

Donald Davendra et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2013)

Article Computer Science, Interdisciplinary Applications

A Self-guided Genetic Algorithm for permutation flowshop scheduling problems

Shih-Hsin Chen et al.

COMPUTERS & OPERATIONS RESEARCH (2012)

Article Automation & Control Systems

Two meta-heuristics for three-stage assembly flowshop scheduling with sequence-dependent setup times

Sara Hatami et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2010)

Article Management

A hybrid genetic local search algorithm for the permutation flowshop scheduling problem

Lin-Yu Tseng et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2009)

Article Mathematics, Interdisciplinary Applications

A novel particle swarm optimization algorithm for permutation flow-shop scheduling to minimize makespan

Zhigang Lian et al.

CHAOS SOLITONS & FRACTALS (2008)

Article Management

A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem

Ruben Ruiz et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2007)