Results 51 to 60 of about 4,175,963 (385)

Multimodal Multiobjective Optimization Algorithm Based on Local Center Clustering [PDF]

Jisuanji kexue
In multimodal multiobjective optimization problems,multiple global and local optimal solutions can provide flexible options for decision makers.However,the current research work of multimodal multiobjective algorithms mostly focuses on multiple ...
YUE Caitong, YE Wenhao, ZHANG Yingjie, LIANG Jing, LIN Hongyu
doaj   +1 more source

Particle Swarm–Grey Wolf Cooperation Algorithm Based on Microservice Container Scheduling Problem

IEEE Access, 2023
In recent years, microservices have been very widely used as a new application development technology in edge computing, IoT, and cloud computing. Application containerization technology is one of its core technologies, which allows multiple containers ...
Xinying Chen, Yuefeng Wu, Siyi Xiao
doaj   +1 more source

Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines

IEEE Open Journal of the Industrial Electronics Society
Multiobjective hyperparameter optimization is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines.
Niklas Monzen, Florian Stroebl, Herbert Palm, Christoph M. Hackl   +3 more
doaj   +1 more source

Near-Optimal Graph Signal Sampling by Pareto Optimization

Sensors, 2021
In this paper, we focus on the bandlimited graph signal sampling problem. To sample graph signals, we need to find small-sized subset of nodes with the minimal optimal reconstruction error.
Dongqi Luo, Binqiang Si, Saite Zhang, Fan Yu, Jihong Zhu   +4 more
doaj   +1 more source

Pareto Optimality in Coalition Formation [PDF]

Games and Economic Behavior, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aziz, Haris, Brandt, Felix, Harrenstein, Paul   +2 more
openaire   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

Optimization of Wind Turbine Airfoil Using Nondominated Sorting Genetic Algorithm and Pareto Optimal Front

International Journal of Chemical Engineering, 2012
A Computational Fluid Dynamics (CFD) and response surface-based multiobjective design optimization were performed for six different 2D airfoil profiles, and the Pareto optimal front of each airfoil is presented.
Ziaul Huque, Ghizlane Zemmouri, Donald Harby, Raghava Kommalapati   +3 more
doaj   +1 more source

“The Hardest of All the Problems”

Erasmus Journal for Philosophy and Economics, 2022
This paper provides a history of the development of Harold Hochman and James Rodgers’ (1969) theory of Pareto optimal redistribution, which modeled income transfers as a public good. Pareto optimal redistribution provided an economic efficiency case for
Daniel Kuehn
doaj   +1 more source

Pareto-Optimal Insurance Contracts With Premium Budget and Minimum Charge Constraints

Insurance, Mathematics & Economics, 2019
In view of the fact that minimum charge and premium budget constraints are natural economic considerations in any risk-transfer between the insurance buyer and seller, this paper revisits the optimal insurance contract design problem in terms of Pareto ...
Alexandru V. Asimit, K. Cheung, W. F. Chong, Junlei Hu   +3 more
semanticscholar   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source