
Surrogateassisted cooperative signal optimization for largescale traffic networks
Reasonable setting of traffic signals can be very helpful in alleviating...
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Enhancing hierarchical surrogateassisted evolutionary algorithm for highdimensional expensive optimization via random projection
By remarkably reducing real fitness evaluations, surrogateassisted evol...
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A SurrogateAssisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
Problem decomposition plays a vital role when applying cooperative coevo...
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TCDesc: Learning Topology Consistent Descriptors
Triplet loss is widely used for learning local descriptors from image pa...
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An Eigenspace DivideandConquer Approach for LargeScale Optimization
Divideandconquerbased (DCbased) evolutionary algorithms (EAs) have a...
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Niching an Archivebased Gaussian Estimation of Distribution Algorithm via Adaptive Clustering
As a modelbased evolutionary algorithm, estimation of distribution algo...
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A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems
By taking the idea of divideandconquer, cooperative coevolution (CC) p...
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Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models
It has been shown that cooperative coevolution (CC) can effectively deal...
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Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization
It has been shown that cooperative coevolution (CC) can effectively deal...
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Boosting Cooperative Coevolution for Large Scale Optimization with a FineGrained Computation Resource Allocation Strategy
Cooperative coevolution (CC) has shown great potential in solving large ...
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Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive
As a typical modelbased evolutionary algorithm (EA), estimation of dist...
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A Bidirectional Adaptive Bandwidth Mean Shift Strategy for Clustering
The bandwidth of a kernel function is a crucial parameter in the mean sh...
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Yongsheng Liang
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