Search Results - "Uncertain random multi-objective programming"

A Novel Ideal Point Method for Uncertain Random Multi-Objective Programming Problem Under PE Criterion

Authors: Yao Qi Ying Wang Ying Liang et al.

Source: IEEE Access, Vol 7, Pp 12982-12992 (2019)

Subject Terms: Uncertain random multi-objective programming, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, SWS-IPM, ideal point method, SD-IPM, WMM-IPM, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08611211.pdf
https://doaj.org/article/fc32a80c4fcf430c9f7c3742fe6a3aac
https://dblp.uni-trier.de/db/journals/access/access7.html#QiWLS19
https://ieeexplore.ieee.org/document/8611211/

Uncertain random multi-objective programming problem given general monotonic function and its solution under CESD criterion

Authors: Yun Sun Ying Wang Xiangfei Meng

Source: Soft Computing. 26:5297-5313

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

New approach for uncertain random multi-objective programming problems based on CESD criterion

Authors: Wang Ying Luo Chengkun Sun Yun et al.

Source: Journal of Systems Engineering and Electronics. 32:619-630

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/ielx7/5971804/9594739/09594753.pdf
http://xplorestaging.ieee.org/ielx7/5971804/9594739/09594753.pdf?arnumber=9594753

基于PEV准则的不确定随机多目标规划问题求解.

Alternate Title: Solving Uncertain Random Multi-objective Programming Problems Based on PEV Principle.

Authors: 孙贇 王瑛 李超

Source: Journal of Nanjing University of Aeronautics & Astronautics / Nanjing Hangkong Hangtian Daxue Xuebao. Oct2018, Vol. 50 Issue 5, p645-652. 8p.

Uncertain random multi-objective programming problem given general monotonic function and its solution under CESD criterion.

Authors: Sun, Yun Wang, Ying Meng, Xiangfei

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jun2022, Vol. 26 Issue 11, p5297-5313, 17p

Subject Terms: RANDOM variables, STATISTICAL correlation

基于PEV准则的不确定随机多目标规划问题求解. (Chinese)

Alternate Title: Solving Uncertain Random Multi-objective Programming Problems Based on PEV Principle. (English)

Authors: 孙贇 王瑛 李超

Source: Journal of Nanjing University of Aeronautics & Astronautics / Nanjing Hangkong Hangtian Daxue Xuebao; Oct2018, Vol. 50 Issue 5, p645-652, 8p

Multi-objective optimization in uncertain random environments.

Authors: Zhou, Jian Yang, Fan Wang, Ke

Source: Fuzzy Optimization & Decision Making; Dec2014, Vol. 13 Issue 4, p397-413, 17p, 1 Chart

Subject Terms: MATHEMATICAL optimization, MULTIPLE criteria decision making, RANDOM variables, PROBLEM solving, MATHEMATICAL programming, NUMERICAL analysis

Uncertain random programming models in the framework of U-S chance theory and their applications.

Authors: Hu, Feng Qu, Ziyi Yang, Deguo

Source: TOP (1134-5764); Apr2025, Vol. 33 Issue 1, p161-194, 34p

基于多目标的无人机辅助无线传感器 网络数据收集方案. (Chinese)

Alternate Title: Unmanned Aerial Vehicle-assisted Wireless Sensor Networks Data Collection Schemes Based Multi-objective. (English)

Authors: 刘衍平 张坤坤 宋富洪

Source: Science Technology & Engineering; 2025, Vol. 25 Issue 3, p1272-1279, 8p

Method for constructing typical operation scenarios in power systems considering spatiotemporal correlation of renewable energy generation.

Authors: Bai, Bin Li, Xing Zhao, Dongning et al.

Source: Journal of Physics: Conference Series; 2024, Vol. 2814 Issue 1, p1-9, 9p

Small-sample size problems solving based on incremental learning: an adaptive Bayesian quadrature approach.

Authors: Feng, Yiding Feng, Xiang Yu, Huiqun

Source: Applied Intelligence; Jun2023, Vol. 53 Issue 12, p15174-15187, 14p

Subject Terms: MACHINE learning, PROBLEM solving, STOCHASTIC programming

Uncertain random mean–variance–skewness models for the portfolio optimization problem.

Authors: Zhai, Jia Bai, Manying Hao, Junzhang

Source: Optimization; Dec2022, Vol. 71 Issue 13, p3941-3964, 24p

Subject Terms: PORTFOLIO management (Investments), RANDOM variables, ECONOMIC uncertainty, RETURN on assets, FINANCIAL markets

Availability-Aware and Energy-Efficient Virtual Cluster Allocation Based on Multi-Objective Optimization in Cloud Datacenters.

Authors: Liu, Xuan Cheng, Bo Wang, Shangguang

Source: IEEE Transactions on Network & Service Management; Jun2020, Vol. 17 Issue 2, p972-985, 14p

Uncertain random shortest path problem.

Authors: Sheng, Yuhong Mei, Xuehui

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2020, Vol. 24 Issue 4, p2431-2440, 10p

Subject Terms: RANDOM variables, MATHEMATICAL optimization, UNCERTAINTY, ROBUST optimization

On the convergence of uncertain random sequences.

Authors: Ahmadzade, H. Sheng, Y. Esfahani, M.

Source: Fuzzy Optimization & Decision Making; Jun2017, Vol. 16 Issue 2, p205-220, 16p

Subject Terms: MATHEMATICAL inequalities, RANDOM variables, STOCHASTIC convergence, BOREL subgroups, BOREL sets, MATHEMATICAL sequences

Minimum spanning tree problem of uncertain random network.

Authors: Sheng, Yuhong Qin, Zhongfeng Shi, Gang

Source: Journal of Intelligent Manufacturing; Mar2017, Vol. 28 Issue 3, p565-574, 10p

Subject Terms: SPANNING trees, PROBABILITY theory, RANDOM variables, UNCERTAINTY (Information theory), ALGORITHMS