Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Multi-objective hyperparameter optimization in machine learning—An overview
Hyperparameter optimization constitutes a large part of typical modern machine learning
(ML) workflows. This arises from the fact that ML methods and corresponding preprocessing …
(ML) workflows. This arises from the fact that ML methods and corresponding preprocessing …
Multicriteria optimization in humanitarian aid
In the recent past, the global public has been alarmed by several natural disasters with
tremendous consequences. The OR/MS community has reacted by develo** quantitative …
tremendous consequences. The OR/MS community has reacted by develo** quantitative …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
[کتاب][B] Multistage stochastic optimization
The topic of this book is multistage stochastic optimization. Multistage reflects the fact that an
optimal decision is an entire strategy or policy, which is executed during subsequent instants …
optimal decision is an entire strategy or policy, which is executed during subsequent instants …
On the convergence of stochastic multi-objective gradient manipulation and beyond
The conflicting gradients problem is one of the major bottlenecks for the effective training of
machine learning models that deal with multiple objectives. To resolve this problem, various …
machine learning models that deal with multiple objectives. To resolve this problem, various …
A survey on search strategy of evolutionary multi-objective optimization algorithms
The multi-objective optimization problem is difficult to solve with conventional optimization
methods and algorithms because there are conflicts among several optimization objectives …
methods and algorithms because there are conflicts among several optimization objectives …
[HTML][HTML] Wireless sensor network optimization: Multi-objective paradigm
Optimization problems relating to wireless sensor network planning, design, deployment
and operation often give rise to multi-objective optimization formulations where multiple …
and operation often give rise to multi-objective optimization formulations where multiple …
[HTML][HTML] Balancing consumer and business value of recommender systems: A simulation-based analysis
Automated recommendations can nowadays be found on many e-commerce platforms, and
such recommendations can create substantial value for consumers and providers. Often …
such recommendations can create substantial value for consumers and providers. Often …
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning
Optimization of conflicting functions is of paramount importance in decision making, and real
world applications frequently involve data that is uncertain or unknown, resulting in multi …
world applications frequently involve data that is uncertain or unknown, resulting in multi …
A survey on kriging-based infill algorithms for multiobjective simulation optimization
This article surveys the most relevant kriging-based infill algorithms for multiobjective
simulation optimization. These algorithms perform a sequential search of so-called infill …
simulation optimization. These algorithms perform a sequential search of so-called infill …