Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem
出版年份 2021 全文链接
标题
Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem
作者
关键词
Large-scale flexible job shop scheduling problem, Dragonfly algorithm, Dynamic opposite learning, Global optimization, Makespan
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 238, Issue -, Pages 107815
出版商
Elsevier BV
发表日期
2021-12-08
DOI
10.1016/j.knosys.2021.107815
参考文献
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- (2021) Jinghe Sun et al. COMPUTERS & OPERATIONS RESEARCH
- An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships
- (2020) Armin Letafat et al. COMPLEXITY
- A meta-heuristic to solve the just-in-time job-shop scheduling problem
- (2020) Mohammad Mahdi Ahmadian et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Flexible job shop scheduling problem with reconfigurable machine tools: An improved differential evolution algorithm
- (2020) Mehdi Mahmoodjanloo et al. APPLIED SOFT COMPUTING
- Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem
- (2020) Haojie Ding et al. COMPUTERS & OPERATIONS RESEARCH
- Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
- (2020) Da Gao et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Dynamic opposite learning enhanced teaching–learning-based optimization
- (2019) Yunlang Xu et al. KNOWLEDGE-BASED SYSTEMS
- A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains
- (2019) Xu Yu et al. PATTERN RECOGNITION
- Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
- (2019) Ling-Ling Li et al. JOURNAL OF CLEANER PRODUCTION
- Mathematical modeling and a hybridized bacterial foraging optimization algorithm for the flexible job-shop scheduling problem with sequencing flexibility
- (2019) Alejandro Vital-Soto et al. JOURNAL OF MANUFACTURING SYSTEMS
- Dragonfly Algorithm and Its Applications in Applied Science Survey
- (2019) Chnoor M. Rahman et al. Computational Intelligence and Neuroscience
- SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features
- (2018) Xu Yu et al. KNOWLEDGE-BASED SYSTEMS
- A heuristic model for dynamic flexible job shop scheduling problem considering variable processing times
- (2018) Melissa Shahgholi Zadeh et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Different Performances of Different Intelligent Algorithms for Solving FJSP: A Perspective of Structure
- (2018) Xiao-qiu Shi et al. Computational Intelligence and Neuroscience
- A hybrid multi-verse optimization for the fuzzy flexible job-shop scheduling problem
- (2018) Jian Lin et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Using dragonfly algorithm for optimization of orthotropic infinite plates with a quasi-triangular cut-out
- (2017) Mohammad Jafari et al. EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
- An improved quantum genetic algorithm based on MAGTD for dynamic FJSP
- (2017) Tao Ning et al. Journal of Ambient Intelligence and Humanized Computing
- Generation dispatch of combined solar thermal systems using dragonfly algorithm
- (2016) Velamuri Suresh et al. COMPUTING
- Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
- (2016) Kai Zhou Gao et al. KNOWLEDGE-BASED SYSTEMS
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
- (2015) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
- (2015) Seyedali Mirjalili NEURAL COMPUTING & APPLICATIONS
- An effective teaching–learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time
- (2015) Ye Xu et al. NEUROCOMPUTING
- A new hybrid genetic algorithm for job shop scheduling problem
- (2011) Ren Qing-dao-er-ji et al. COMPUTERS & OPERATIONS RESEARCH
- An effective artificial bee colony algorithm for the flexible job-shop scheduling problem
- (2011) Ling Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Discrepancy search for the flexible job shop scheduling problem
- (2010) Abir Ben Hmida et al. COMPUTERS & OPERATIONS RESEARCH
- An effective genetic algorithm for the flexible job-shop scheduling problem
- (2010) Guohui Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- The hybrid flow shop scheduling problem
- (2009) Rubén Ruiz et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A genetic algorithm for the Flexible Job-shop Scheduling Problem
- (2007) F. Pezzella et al. COMPUTERS & OPERATIONS RESEARCH
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