Zobrazeno 1 - 10
of 905
pro vyhledávání: '"Shang, Ke"'
For a control problem with multiple conflicting objectives, there exists a set of Pareto-optimal policies called the Pareto set instead of a single optimal policy. When a multi-objective control problem is continuous and complex, traditional multi-ob
Externí odkaz:
http://arxiv.org/abs/2406.18924
Blind face restoration (BFR) is a highly challenging problem due to the uncertainty of degradation patterns. Current methods have low generalization across photorealistic and heterogeneous domains. In this paper, we propose a Diffusion-Information-Di
Externí odkaz:
http://arxiv.org/abs/2403.10098
Publikováno v:
Shipin Kexue, Vol 45, Iss 8, Pp 1-12 (2024)
Purpose: To address the issue that laboratory methods cannot meet the need foron-site rapid testingat the grassroot level, a quick method for detecting the authenticity of meat products was established based on multienzyme isothermal rapid amplificat
Externí odkaz:
https://doaj.org/article/6fe65ca7cd54465d87e2bbea11b51af3
An unbounded external archive has been used to store all nondominated solutions found by an evolutionary multi-objective optimization algorithm in some studies. It has been shown that a selected solution subset from the stored solutions is often bett
Externí odkaz:
http://arxiv.org/abs/2209.03100
In this letter, we propose HV-Net, a new method for hypervolume approximation in evolutionary multi-objective optimization. The basic idea of HV-Net is to use DeepSets, a deep neural network with permutation invariant property, to approximate the hyp
Externí odkaz:
http://arxiv.org/abs/2203.02185
Hypervolume contribution is an important concept in evolutionary multi-objective optimization (EMO). It involves in hypervolume-based EMO algorithms and hypervolume subset selection algorithms. Its main drawback is that it is computationally expensiv
Externí odkaz:
http://arxiv.org/abs/2201.06707
In the evolutionary multi-objective optimization (EMO) field, the standard practice is to present the final population of an EMO algorithm as the output. However, it has been shown that the final population often includes solutions which are dominate
Externí odkaz:
http://arxiv.org/abs/2201.06700
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part F
Publikováno v:
In Microbiological Research July 2024 284
Publikováno v:
In Science of the Total Environment 20 June 2024 930