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International Journal of Production Research Volume 53, 2015 - Issue 6
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Articles

An effective teaching–learning-based optimisation algorithm for RCPSP with ordinal interval numbers

Huan-yu ZhengTsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, ChinaView further author information
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Ling WangTsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, ChinaCorrespondence[email protected]
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Pages 1777-1790 | Received 04 Nov 2013, Accepted 22 Aug 2014, Published online: 22 Sep 2014

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Zhenyuan Liu, Lei Xiao & Jing Tian. (2016) An activity-list-based nested partitions algorithm for resource-constrained project scheduling. International Journal of Production Research 54:16, pages 4744-4758.
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Jing-nan Shen, Ling Wang & Huan-yu Zheng. (2016) A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling. International Journal of Production Research 54:12, pages 3622-3639.
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Teng Ren, Tianyu Luo, Shuxuan Li, Lining Xing & Shang Xiang. (2022) Review on R&D task integrated management of intelligent manufacturing equipment. Neural Computing and Applications 34:8, pages 5813-5837.
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Moses Olabhele Esangbedo, Sijun Bai, Seyedali Mirjalili & Zonghan Wang. (2021) Evaluation of human resource information systems using grey ordinal pairwise comparison MCDM methods. Expert Systems with Applications 182, pages 115151.
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Ali Shirzadeh Chaleshtarti, Shahram Shadrokh, Marzieh Khakifirooz, Mahdi Fathi & Panos M. Pardalos. (2020) A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources. Applied Soft Computing 94, pages 106482.
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Dheeraj Joshi, M.L. Mittal, Milind Kumar Sharma & Manish Kumar. (2019) An effective teaching-learning-based optimization algorithm for the multi-skill resource-constrained project scheduling problem. Journal of Modelling in Management 14:4, pages 1064-1087.
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Alireza Birjandi & S. Meysam Mousavi. (2019) Fuzzy resource-constrained project scheduling with multiple routes: A heuristic solution. Automation in Construction 100, pages 84-102.
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Dheeraj Joshi, M. L. Mittal & Manish Kumar. 2019. Harmony Search and Nature Inspired Optimization Algorithms. Harmony Search and Nature Inspired Optimization Algorithms 1101 1109 .
Xichao Su, Wei Han, Yu Wu, Yong Zhang & Jie Liu. (2018) A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations. Complexity 2018, pages 1-38.
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Weishi Shao, Dechang Pi & Zhongshi Shao. (2018) A hybrid discrete teaching-learning based meta-heuristic for solving no-idle flow shop scheduling problem with total tardiness criterion. Computers & Operations Research 94, pages 89-105.
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Huan-yu Zheng, Ling Wang & Xiao-long Zheng. (2015) Teaching?learning-based optimization algorithm for multi-skill resource constrained project scheduling problem. Soft Computing 21:6, pages 1537-1548.
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Xinghua Qu, Ran Zhang, Bo Liu & Huifeng Li. (2017) An improved TLBO based memetic algorithm for aerodynamic shape optimization. Engineering Applications of Artificial Intelligence 57, pages 1-15.
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Yudong Wang, Xiaoyi Feng, Xin Lyu, Zhengyang Li & Bo Liu. (2016) Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy. Knowledge-Based Systems 107, pages 261-270.
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Ao Liu, Xudong Deng, Zeping Tong, Yongliang Luo & Bo Liu. (2016) A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization. A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization.
Xinghua Qu, Huifeng Li, Ran Zhang & Bo Liu. (2016) An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization. An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization.
Xinghua Qu, Bo Liu, Zhengyang Li, Wenzhe Duan, Ran Zhang, Wei Zhang & Huifeng Li. (2016) A novel improved teaching-learning based optimization for functional optimization. A novel improved teaching-learning based optimization for functional optimization.

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