Suchergebnisse - Expensive multi-objective evolutionary algorithm~

A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization von Tian, Ye, Hu, Jiaxing, He, Cheng, Ma, Haiping, Zhang, Limiao, Zhang, Xingyi

“… Multi-objective optimization problems in many real-world applications are characterized by computationally or economically expensive objectives, which cannot provide sufficient function evaluations …”
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An expensive multi-objective evolutionary algorithm based on grid and relation learning von Cheng, Yan, Wang, Jiaqi, Yu, Gongcheng, Yao, Yuxiao, Chen, Yanyin, Li, Guowei

“… The evaluation process consumes computational resources or funds, making it difficult to provide adequate function evaluations for converging evolutionary algorithms …”
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A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization von Li, Jinglu, Wang, Peng, Dong, Huachao, Shen, Jiangtao, Chen, Caihua

“… Surrogate-assisted multi-objective evolutionary algorithms (SAMOEAs) have been developed for solving expensive optimization problems …”
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A data augmentation based Kriging-assisted reference vector guided evolutionary algorithm for expensive dynamic multi-objective optimization von Liu, Zhening, Wang, Handing

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Kriging-assisted indicator-based evolutionary algorithm for expensive multi-objective optimization von Li, Fei, Yang, Yujie, Shang, Zhengkun, Li, Siyuan, Ouyang, Haibin

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A Review of Multi-Satellite Imaging Mission Planning Based on Surrogate Model Expensive Multi-Objective Evolutionary Algorithms: The Latest Developments and Future Trends von Yang, Xueying, Hu, Min, Huang, Gang, Lin, Peng, Wang, Yijun

“… response times for traditional algorithms. Surrogate model expensive multi-objective evolutionary algorithms (SM-EMOEAs …”
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Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization von Li, Bingdong, Lu, Yongfan, Qian, Hong, Hong, Wenjing, Yang, Peng, Zhou, Aimin

“… Evolutionary algorithms face significant challenges when it comes to solving expensive multi-objective optimization problems, which require costly evaluations …”
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Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning von Li, Bingdong, Yang, Yanting, Liu, Dacheng, Zhang, Yan, Zhou, Aimin, Yao, Xin

“… A series of surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to handle expensive multi-objective optimization problems (EMOPs …”
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A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization von Liu, Yuanchao, Liu, Jianchang, Tan, Shubin, Yang, Yongkuan, Li, Fei

“… It is a big challenge for multi-objective evolutionary algorithms to solve expensive multi-objective optimization due to high computational cost …”
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Neighborhood samples and surrogate assisted multi-objective evolutionary algorithm for expensive many-objective optimization problems von Zhao, Yi, Zeng, Jianchao, Tan, Ying

“… Many surrogate-assisted meta-heuristic algorithms have been proposed for single-objective expensive optimization problems, however, not so much attention has been paid to multi-objective expensive …”
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Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization von Zhu, Shuwei, Zhang, Yimo, Fang, Wei, Cui, Meiji, Deb, Kalyanmoy

“… Surrogate-assisted evolutionary algorithms (SAEAs) have gained a lot of attention to handle expensive multi-objective optimization problems (EMOPs …”
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PRETTY: A parallel transgenerational learning-assisted evolutionary algorithm for computationally expensive multi-objective optimization von Zou, Mingyin, Zhu, Xiaomin, Tian, Ye, Wang, Ji, Chen, Huangke

“… Many real-world optimization problems, called computationally expensive optimization problems, often require a time-consuming fitness evaluation through computer simulation or neural network training …”
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Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems von Cai, Xiwen, Zou, Tao, Gao, Liang

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The IGD+ indicator based evolutionary algorithm for expensive multi-objective optimization problems von Li, Fei, Shen, Hao, Wang, Yudong, Dai, Mingcheng, Park, Ju H.

“… Due to the high experimental cost in function evaluation procedure, commonly used evolutionary algorithms are difficult to solve expensive multi-objective optimization problems …”
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Multiple surrogates-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization with adaptive diffusion map von Yan, Zeyuan, Zhou, Yuren, Su, Chupeng, Tan, Yanyan

“… Surrogate-assisted evolutionary algorithms (SAEAs) have made significant progress in solving expensive multi/many-objective optimization problems …”
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Surrogate-assisted evolutionary algorithm for expensive constrained multi-objective discrete optimization problems von Gu, Qinghua, Wang, Qian, Xiong, Neal N., Jiang, Song, Chen, Lu

“… However, relatively little work has been dedicated to addressing expensive constrained multi-objective discrete optimization problems although there are many such problems in the real world …”
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A population-oriented hybrid search surrogate-assisted evolutionary algorithm for expensive constrained optimization multi-objective problems with small feasible regions von Zhu, Cong, Yang, Yongkuan, Kong, Xiangsong, Li, Wenji

“… Multi-objective optimization problems with expensive objectives and constraints frequently arise in real industries, such problems are called expensive constrained multi-objective optimization problems(ECMOPs …”
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A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization von Wang, Wenxin, Dong, Huachao, Wang, Peng, Wang, Xinjing, Shen, Jiangtao

“… This paper presents a novel surrogate-assisted evolutionary algorithm, CSMOEA, for multi-objective optimization problems (MOPs …”
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A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems von Long, Wenyi, Wang, Peng, Dong, Huachao, Li, Jinglu, Fu, Chongbo

“… Surrogate-assisted multi-objective optimization algorithms have attracted widespread attention due to their outstanding performance in computationally expensive real-world problems …”
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Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions von Li, Fan, Gao, Liang, Garg, Akhil, Shen, Weiming, Huang, Shifeng

“… •A surrogate-assisted dominance-based multi-objective evolutionary algorithm is proposed to solve multi-objective computationally expensive problems with medium dimensions …”
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