Suchergebnisse - Expensive multi-objective evolution algorithm

Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget von Cai, Xiwen, Ruan, Gan, Yuan, Bo, Gao, Liang

“… By hybridizing two complementary surrogate-assisted strategies, this study proposed an efficient surrogate-assisted differential evolution algorithm to optimize expensive multi-objective problems …”
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A two-stage dominance-based surrogate-assisted evolution algorithm for high-dimensional expensive multi-objective optimization von Yu, Mengjiao, Wang, Zheng, Dai, Rui, Chen, Zhongkui, Ye, Qianlin, Wang, Wanliang

“… In the past decades, surrogate-assisted evolutionary algorithms (SAEAs) have become one of the most popular methods to solve expensive multi-objective optimization problems (EMOPs …”
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Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization von Shen, Jiangtao, Wang, Peng, Dong, Huachao, Wang, Wenxin, Li, Jinglu

“… When the evolutionary algorithm is applied to handle high-dimensional expensive multi-objective optimization problems (MOPs …”
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Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization von Yang, Zan, Qiu, Haobo, Gao, Liang, Chen, Liming, Liu, Jiansheng

“… ) is proposed for solving computationally expensive constrained multi-objective optimization problems, in which three specific search strategies are adaptively implemented based on the optimization …”
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Computationally expensive multi-objective optimization problems via optimization state-driven adaptive evolution von Chen, Yuhang, Yang, Zan, Jiang, Chen, Qiu, Haobo

“… •Superior performance obtained on benchmarks and real engineering applications. The existing surrogate-assisted algorithms for computationally expensive multi-objective optimization problems (EMOPs …”
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Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization von Lv, Zhiming, Wang, Linqing, Han, Zhongyang, Zhao, Jun, Wang, Wei

“… For multi-objective optimization problems, particle swarm optimization &#x0028 PSO &#x0029 algorithm generally needs a large number of fitness evaluations to obtain the Pareto optimal solutions …”
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Dual-space high-quality individual knowledge-driven surrogate-assisted multi-objective evolutionary algorithm with heterogeneous offspring generation von Bian, Xiaotong, Zhao, Feng, Liu, Hanqiang, Ning, Xinyi, Hu, Yikai

“… Surrogate-assisted multi-objective evolutionary algorithms have proven effective in solving expensive multi-objective optimization problems …”
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An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems von Cao, Fan, Tang, Zhili, Zhu, Caicheng, Zhao, Xin

“… This paper presents a bilayer parallel hybrid algorithm framework coupling multi-objective local search and global evolution mechanism to improve the optimization efficiency and convergence accuracy …”
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Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization von Du, Ke-Jing, Li, Jian-Yu, Wang, Hua, Zhang, Jun

“… Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problem (MO-MTOP …”
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Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection von Akhtar, Taimoor, Shoemaker, Christine A.

“… GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-objective optimization that is designed to obtain good non-dominated solutions to black box problems …”
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A surrogate-assisted evolution strategy for constrained multi-objective optimization von Datta, Rituparna, Regis, Rommel G.

“… Many multi-objective optimization algorithms …”
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Expensive constrained multi-objective optimization via adaptive surrogate-assisted dense weight multi-objective evolutionary algorithm von Liu, Jiansheng, Hu, Haoran, Liu, Zhiyong, Yang, Zan, Chen, Liming, Cai, Xiwen

“… Expensive constrained multi-objective optimization problems (ECMOPs) face challenges in obtaining excellent results for complex PF shapes within limited costly …”
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Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution von Żychowski, Adam, Gupta, Abhishek, Mańdziuk, Jacek, Ong, Yew Soon

“… •New memetic co-evolutionary algorithm for finding multi-objective games strategies is proposed …”
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Two-Level Surrogate-Assisted Differential Evolution Multi-Objective Optimization of Electric Machines Using 3-D FEA von Taran, Narges, Ionel, Dan M., Dorrell, David G.

“… A two-level surrogate-assisted optimization algorithm is proposed for electric machine design using 3-D finite-element analysis (FEA …”
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Self-organizing surrogate-assisted non-dominated sorting differential evolution von Araújo, Aluizio F.R., Farias, Lucas R.C., Gonçalves, Antônio R.C.

“… Due to the high computational or financial cost associated with evaluating fitness, expensive multi-objective optimization problems (EMOPs …”
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Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy von Dong, Huachao, Li, Jinglu, Wang, Peng, Song, Baowei, Yu, Xinkai

“… In this paper, we present a new multi-objective global optimization algorithm SGMOO for computationally expensive black-box problems, where Radial basis functions are used to build dynamically updated …”
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An elitist cooperative evolutionary bi-level multi-objective decomposition-based algorithm for sustainable supply chain von Abbassi, Malek, Chaabani, Abir, Absi, Nabil, Ben Said, Lamjed

“… For this reason, the Multi-objective variant (MBLOP) remains relatively less explored and the number of methods tackling the combinatorial case is much reduced …”
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Surrogate-Assisted Efficient Grouping Evolutionary Search for Expensive Large-Scale Multi-Objective Optimization von Zhen, Huixiang, Gong, Wenyin, Wang, Ling, Hu, Xiangyun

“… Surrogate-assisted evolutionary algorithms have demonstrated remarkable success in tackling expensive multi-objective optimization problems …”
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An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization von Zheng, Nan, Wang, Handing, Yuan, Bo

“… To solve noisy and expensive multi-objective optimization problems, there are only a few function evaluations can be used due to the limitation of time and/or money …”
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Multi-objective feature selection algorithm using Beluga Whale Optimization von Kouhpah Esfahani, Kiana, Mohammad Hasani Zade, Behnam, Mansouri, Najme

“… Multi-objective optimization is crucial in feature selection because it allows simultaneous evaluation of multiple, often conflicting objectives, such as maximizing model accuracy and minimizing the number of features …”
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