Search Results - "evolutionary multi-objective algorithm"

Multi-objective community detection in complex networks by Shi, Chuan, Yan, Zhenyu, Cai, Yanan, Wu, Bin

“…This paper formulates the community detection as a multi-objective optimization problem and proposes a novel solution which simultaneously optimizes two…”
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Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network by Wu, Tao, Shi, Jiao, Zhou, Deyun, Zheng, Xiaolong, Li, Na

“…Deep neural networks have achieved significant development and wide applications for their amazing performance. However, their complex structure, high…”
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Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing by Long, Qingqi, Chen, Yingni, Wang, Yongheng, Xu, Le, Zhang, Shuzhu, Peng, Juanjuan

“…•This study proposes a computational experiment-aided prescriptive decision-making framework.•The framework predicts multivariate emergences and exploits…”
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Optimal placement of surge arresters for transmission lines lightning performance improvement by Castro, Walace S., Lopes, Ivan J.S., Missé, Silvio L.V., Vasconcelos, João A.

“…•The use of arresters can improve the lightning performance of transmission lines.•Placement based on the tower-footing impedance does not allocate arresters…”
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Novel evolutionary multi-objective soft subspace clustering algorithm for credit risk assessment by Liu, Chao, Xie, Jing, Zhao, Qi, Xie, Qiwei, Liu, Chenqi

“…•We propose a new clustering validity index for credit risk assessment problems.•We provide to realize the clustering of credit datasets by a multi-objective…”
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Static and incremental dynamic approaches for multi-objective bitmap join indexes selection in data warehouses by Toumi, Lyazid, Ugur, Ahmet

“…Data warehouses are very large databases and play key role in intelligent decision making in enterprises. The bitmap join indexes selection problem is crucial…”
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Multi-objective Optimization of Dimensional Parameter for 4-PRPaR Parallel Mechanism by Jian Yi, Bing He, Linxian Che, Jie Li

“…Taking a 4-PRPaR parallel mechanism with three translational and one rotational as the research object， the evolutionary multi-objective algorithm is applied…”
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An experimental analysis of evolutionary algorithms for the three-objective oil derivatives distribution problem by Souza, Thatiana C. N., Goldbarg, Elizabeth F. G., Goldbarg, Marco C.

“…Scheduling oil derivatives distribution by multi-product pipelines is an important problem faced by the petroleum industry. Some researchers deal with it as a…”
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FIR Digital Filter Design Based on Evolutionary Multi-Objective Algorithm by Chen, Tiejun, Wang, Qiang, Liu, Hai-Lin

“…The FIR digital filter design plays an important role in communication system. This paper proposes an optimal design method based on least squares method for…”
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A new evolutionary multi-objective algorithm to virtual machine placement in virtualized data center by Chao Liu, Chenyang Shen, Sitian Li, Sinong Wang

“…Virtual machine (VM) placement is a key technology to improve data center efficiency. Most works consider VM placement problem only with respect to physical…”
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Comparing Different Models of Evolutionary Three-Objective Optimization Using Fuzzy Logic in Tehran Stock Exchange by Mohammad Javad Salimi, Mir Feiz Fallah, Hadi Khajezadeh Dezfuli

“…Optimal Portfolio Selection is one of the most important issues in the field of financial research. In the present study, we try to compare four various…”
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An evolutionary multi-objective optimization framework of discretization-based feature selection for classification by Zhou, Yu, Kang, Junhao, Kwong, Sam, Wang, Xu, Zhang, Qingfu

“…Feature selection (FS) aims to identify the most relevant and non-redundant feature subset for improving the classification accuracy, which is regarded as a…”
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Challenging test problems for multi- and many-objective optimization by Zapotecas-Martínez, Saúl, Coello Coello, Carlos A., Aguirre, Hernán E., Tanaka, Kiyoshi

“…In spite of the extensive studies that have been conducted regarding the construction of multi-objective test problems, researchers have mainly focused their…”
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Vector quantization-driven image compression through multi-objective evolutionary algorithms by Camacho-Gonzalez, Francisco David, Lima-López, Daniel, Zapotecas-Martínez, Saúl, Altamirano-Robles, Leopoldo

“…In recent years, information consumption among the population has increased, especially through the widespread use of digital images and videos. Consequently,…”
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LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization by Zapotecas-Martínez, Saúl, López-Jaimes, Antonio, García-Nájera, Abel

“…In multi-objective optimization, the hypervolume indicator (also known as S metric or Lebesgue measure) evaluates, at the same time, the approximation and…”
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An adaptive evolutionary multi-objective approach based on simulated annealing by Li, H, Landa-Silva, D

“…A multi-objective optimization problem can be solved by decomposing it into one or more single objective subproblems in some multi-objective metaheuristic…”
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An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation by Menchaca-Mendez, Adriana, Montero, Elizabeth, Zapotecas-Martinez, Saul

“…One of the main disadvantages of evolutionary multi-objective algorithms (EMOAs) based on hypervolume is the computational cost of the hypervolume computation…”
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Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms by Moreno, J. J., Ortega, G., Filatovas, E., Martínez, J. A., Garzón, Ester M.

“…Nowadays, the application of Evolutionary Multi-Objective Optimization (EMO) algorithms in real-time systems receives considerable interest. In this context,…”
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Integrating Active Learning for Improved Preference Modeling in Tree-Based Interactive Evolutionary Multi-Objective Algorithms by Shavarani, Seyed Mahdi, Golabi, Mahmoud, Idoumghar, Lhassane

“…Multi-objective optimization problems are characterized by conflicting objectives, making it impossible to identify a single optimal solution. Instead,…”
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