Výsledky vyhledávání - "Dynamic multi-objective optimization problem"

The genetic algorithm based on generative adversarial network for dynamic multi-objective optimization problem and application Autor Zhang, Tao, Yi, Haohao, Tai, Zhen, Zou, Jian, Zheng, Yue

“…Dynamic multi-objective optimization problems, where objectives, constraints, and parameters vary over time, are highly challenging, particularly in rapidly and accurately tracking the Pareto Front…”
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Solving dynamic multi-objective optimization problem of immersed tunnel elements via multi-source evolutionary information clustering method Autor Fan, Qinqin, Huang, Wentao, Yu, Moduo, Tang, Qirong, Jiang, Qingchao

“…Dynamic multi-objective optimization problems (DMOPs) are time- and space-varying, thus maintaining/improving the uncertainty degree of evolutionary information (i.e…”
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DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm Autor Aboud, Ahlem, Rokbani, Nizar, Fdhila, Raja, Qahtani, Abdulrahman M., Almutiry, Omar, Dhahri, Habib, Hussain, Amir, Alimi, Adel M.

“…Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static multi-objective…”
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Ensemble prediction-based dynamic robust multi-objective optimization methods Autor Guo, Yinan, Yang, Huan, Chen, Meirong, Cheng, Jian, Gong, Dunwei

“… Wide studies on solving dynamic multi-objective optimization problems have so far concentrated on tracking moving Pareto-optima as soon as possible…”
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A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting Autor Peng, Hu, Xiong, Jianpeng, Pi, Chen, Zhou, Xinyu, Wu, Zhijian

“…Dynamic multi-objective optimization problems (DMOPs) are prevalent in the real world, where the challenge in solving DMOPs is how to track the time-varying Pareto-optimal front (PF…”
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Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem Autor Jeya Balaji Balasubramanian, Soni, Akshay, Mehdad, Yashar, Laptev, Nikolay

“…The content ranking problem in a social news website, is typically a function that maximizes a scalar metric of interest like dwell-time. However, like in most…”
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Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space Autor Zhou, Wei, Feng, Liang, Zhu, Zexuan, Liu, Kai, Chen, Chao, Wu, Zhou

“…Solving dynamic multi-objective optimization problem (DMOP) requires optimizing multiple conflicting objectives simultaneously…”
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Feature information prediction algorithm for dynamic multi-objective optimization problems Autor Ma, Xuemin, Yang, Jingming, Sun, Hao, Hu, Ziyu, Wei, Lixin

“…•The initial population at time t+1 is generated based on the feature information at time t+1. Dynamic multi-objective optimization problems…”
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A two-level parallel decomposition-based artificial bee colony method for dynamic multi-objective optimization problems Autor Bai, Yuyang, Zhang, Changsheng, Bai, Weitong

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A multi-population co-evolutionary algorithm based on dual-space division for dynamic multi-objective optimization problems Autor Hu, Yaru, Xia, Jiaru, Ou, Junwei, Song, Yanjie, Li, Jun, Zheng, Jinhua, Wang, Gaige, Zhang, Yue

“…Effective optimization algorithms are urgently needed for dynamic multi-objective optimization problems (DMOPs…”
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A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems Autor Wang, Yong, Li, Kuichao, Wang, Gai-Ge, Gong, Dunwei, Pedrycz, Witold

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Solving dynamic multi-objective optimization problems via quantifying intensity of environment changes and ensemble learning-based prediction strategies Autor Wang, Zhenwu, Xue, Liang, Guo, Yinan, Han, Mengjie, Liang, Shangchao

“…Algorithms designed to solve dynamic multi-objective optimization problems (DMOPs) need to consider all of the multiple conflicting objectives to determine the optimal solutions…”
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Solving non-cyclic dynamic multi-objective optimization problems via GRU prediction and multi-information hybrid exploration Autor Sun, Hao, Bai, Xiaochuang, Wang, Cong, Yang, He, Hu, Ziyu

“…In non-cyclic dynamic multi-objective optimization problems, the non-cyclic nature of environmental changes may cause the Pareto optimal front (PF…”
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Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences Autor Macias-Escobar, Teodoro, Cruz-Reyes, Laura, Fraire, Héctor, Dorronsoro, Bernabé

“…Dynamic optimization multi-objective problems (DMOPs) are characterized by the environmental changes they experiment . For these problems, optimization…”
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An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems Autor Falahiazar, Alireza, Sharifi, Arash, Seydi, Vahid

“…Dynamic multi-objective optimization algorithms are used as powerful methods for solving many problems worldwide. Diversity, convergence, and adaptation to…”
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Solving non-cyclic dynamic multi-objective optimization problems via GRU prediction and multi-information hybrid exploration: Solving non-cyclic dynamic multi-objective Autor Sun, Hao, Bai, Xiaochuang, Wang, Cong, Yang, He, Hu, Ziyu

“…In non-cyclic dynamic multi-objective optimization problems, the non-cyclic nature of environmental changes may cause the Pareto optimal front (PF…”
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An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems Autor Chen, Meirong, Guo, Yinan, Jin, Yaochu, Yang, Shengxiang, Gong, Dunwei, Yu, Zekuan

“…In dynamic multi-objective optimization problems, the environmental parameters may change over time, which makes the Pareto fronts shifting…”
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A dynamic multi-objective optimization method based on classification strategies Autor Wu, Fei, Wang, Wanliang, Chen, Jiacheng, Wang, Zheng

“…The dynamic multi-objective optimization problem is a common problem in real life, which is characterized by conflicting objectives, the Pareto frontier (PF…”
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Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization Autor Yang, Cuili, Wang, Danlei, Tang, Jian, Qiao, Junfei, Yu, Wen

“…Dynamic multi-objective optimization problems (DMOPs) have several conflicting and time-varying objectives or constraints…”
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Dynamic multi-objective evolutionary algorithms in noisy environments Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“… Although related work in the literature targets only a single type, in this paper, we study Dynamic Multi-objective Optimization problems (DMOPs…”
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