Search Results - "dynamic multi-objective optimization problems"

Solving dynamic multi-objective optimization problems via quantifying intensity of environment changes and ensemble learning-based prediction strategies

Authors: Wang, Zhenwu Xue, Liang Guo, Yinan et al.

Source: Applied Soft Computing. 154

Subject Terms: Dynamic multi-objective optimization, Change intensity quantification, Boundary learning, Ensemble learning

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:du-48044
https://doi.org/10.1016/j.asoc.2024.111317

Solving non-cyclic dynamic multi-objective optimization problems via GRU prediction and multi-information hybrid exploration

Authors: Hao Sun Xiaochuang Bai Cong Wang et al.

Source: The Journal of Supercomputing. 81

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems

Authors: Chen, Meirong Guo, Yinan Jin, Yaochu et al.

Source: Complex & Intelligent Systems, Vol 9, Iss 1, Pp 659-675 (2022)

Subject Terms: Tracking moving optimum, Changing environment, Dynamic multi-objective optimization, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, Robust Pareto-optima over time, QA75.5-76.95, Information technology, 02 engineering and technology, T58.5-58.64

File Description: application/pdf

Access URL: https://doaj.org/article/86409ab459ef4f79ab365f85e0194b0f
https://pub.uni-bielefeld.de/record/2978348
https://doi.org/10.1007/s40747-022-00824-4

An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems

Authors: Alireza Falahiazar Arash Sharifi Vahid Seydi

Source: Journal of Combinatorial Optimization. 44:794-849

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

The comparison of efficiency of the population formation approaches in the dynamic multi-objective optimization problems

Authors: M.A. Rurich A.V. Vakhnin E.A. Sopov

Source: Siberian Aerospace Journal. 23:227-240

Feature information prediction algorithm for dynamic multi-objective optimization problems

Authors: Lixin Wei Ma Xuemin Hao Sun et al.

Source: European Journal of Operational Research. 295:965-981

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ideas.repec.org/a/eee/ejores/v295y2021i3p965-981.html
https://dblp.uni-trier.de/db/journals/eor/eor295.html#MaYSHW21
https://www.sciencedirect.com/science/article/pii/S0377221721000588
https://doi.org/10.1016/j.ejor.2021.01.028

A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems

Authors: Sanyou Zeng Shengxiang Yang Changhe Li et al.

Source: 2021 IEEE Congress on Evolutionary Computation (CEC). :111-118

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/cec/cec2021.html#TanLXZY21
https://dora.dmu.ac.uk/handle/2086/20778

A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems

Authors: Kalthoum Karkazan Haluk Rahmi Topcuoglu Shaaban Sahmoud

Source: Lecture Notes in Computer Science ISBN: 9783031302282

Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences

Authors: Teodoro Macias-Escobar Laura Cruz-Reyes Bernabé Dorronsoro et al.

Source: Future Generation Computer Systems. 110:864-875

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/fgcs/fgcs110.html#Macias-EscobarR20
https://www.sciencedirect.com/science/article/pii/S0167739X19315754

Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems

Authors: Fangqing Gu Zhihao Zhao Yiu-ming Cheung

Source: 2020 IEEE Congress on Evolutionary Computation (CEC). :1-7

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://scholars.hkbu.edu.hk/en/publications/co-operative-prediction-strategy-for-solving-dynamic-multi-object-2
https://ieeexplore.ieee.org/document/9185721
https://dblp.uni-trier.de/db/conf/cec/cec2020.html#ZhaoGC20

Solving Dynamic Multi-Objective Optimization Problems Using Cultural Algorithm based on Decomposition

Authors: Ziad Kobti Ramya Ravichandran

Source: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing. :1-6

Subject Terms: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/icvisp/icvisp2019.html#RavichandranK19

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

Authors: Xing Gao Kay Chen Tan Min Jiang et al.

Source: 2019 IEEE Congress on Evolutionary Computation (CEC). :2794-2799

Subject Terms: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology

Access URL: http://arxiv.org/pdf/1910.08751
http://arxiv.org/abs/1910.08751
https://scholars.hkbu.edu.hk/en/publications/solving-dynamic-multi-objective-optimization-problems-using-incre-2
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-08751
https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-08751
https://arxiv.org/abs/1910.08751
https://arxiv.org/pdf/1910.08751.pdf
http://ui.adsabs.harvard.edu/abs/2019arXiv191008751H/abstract

Solving dynamic multi-objective optimization problems via support vector machine

Authors: Min Jiang Liming Qiu Kay Chen Tan et al.

Source: 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI). :819-824

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Optimization and Control (math.OC), 4. Education, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/pdf/1910.08747
http://arxiv.org/abs/1910.08747
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-08747
https://ieeexplore.ieee.org/document/8377567/
https://scholars.cityu.edu.hk/en/publications/solving-dynamic-multiobjective-optimization-problems-via-support-vector-machine(8deb7ec5-b976-4f8c-bddd-32f7c2a2bba7).html
https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-08747
https://arxiv.org/abs/1910.08747
https://arxiv.org/pdf/1910.08747.pdf
https://ui.adsabs.harvard.edu/abs/2019arXiv191008747J/abstract

A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems

Authors: Yong Wang Kuichao Li Gai-Ge Wang et al.

Source: Knowledge-Based Systems. 284:111227

Change reaction strategies for DNSGA-II solving dynamic multi-objective optimization problems

Authors: Mardé Helbig

Source: 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI). :50-54

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://xplorestaging.ieee.org/ielx7/8267452/8279582/08279596.pdf?arnumber=8279596
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8279596

Sensor-based change detection schemes for dynamic multi-objective optimization problems

Authors: Shaaban Sahmoud Haluk Rahmi Topcuoglu

Source: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). :1-8

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/ssci/ssci2016.html#SahmoudT16

A Two-Level Parallel Decomposition-Based Artificial Bee Colony Method for Dynamic Multi-Objective Optimization Problems

Authors: Yuyang Bai Changsheng Zhang Weitong Bai

Source: Applied Soft Computing. 147:110741

Solving dynamic multi-objective optimization problems via support vector machine

Authors: Jiang, Min Hu, Weizhen Qiu, Liming et al.

Index Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/1910.08747

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

Authors: Hu, Weizhen Jiang, Min Gao, Xing et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1910.08751

Solving non-cyclic dynamic multi-objective optimization problems via GRU prediction and multi-information hybrid exploration.

Authors: Sun, Hao Bai, Xiaochuang Wang, Cong et al.

Source: Journal of Supercomputing; Jun2025, Vol. 81 Issue 8, p1-34, 34p