Results 51 to 60 of about 5,089,183 (236)

A Multi-Objective DV-Hop Localization Algorithm Based on NSGA-II in Internet of Things

Mathematics, 2019
Locating node technology, as the most fundamental component of wireless sensor networks (WSNs) and internet of things (IoT), is a pivotal problem. Distance vector-hop technique (DV-Hop) is frequently used for location node estimation in WSN, but it has a
Penghong Wang, Fei Xue, Hangjuan Li, Zhihua Cui, Liping Xie, Jinjun Chen   +5 more
doaj   +1 more source

Optimizing Ontology Alignment through Improved NSGA-II

Discrete Dynamics in Nature and Society, 2020
Over the past decades, a large number of complex optimization problems have been widely addressed through multiobjective evolutionary algorithms (MOEAs), and the knee solutions of the Pareto front (PF) are most likely to be fitting for the decision maker
Yikun Huang, Xingsi Xue, Chao Jiang
doaj   +1 more source

Ambulance routing in disaster response considering variable patient condition: NSGA-II and MOPSO algorithms

Journal of Industrial and Management Optimization, 2021
The shortage of relief vehicles capacity is a common issue throughout disastrous situations due to the abundance of injured people who need urgent medical aid.
M. Rabbani, Nastaran Oladzad-Abbasabady, N. Akbarian-Saravi   +2 more
semanticscholar   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?

Mathematical and Computational Applications, 2022
NSGA-II is, by far, the most popular metaheuristic that has been adopted for solving multi-objective optimization problems. However, its most common usage, particularly when dealing with continuous problems, is circumscribed to a standard algorithmic ...
Antonio J. Nebro, Jesús Galeano-Brajones, Francisco Luna, Carlos A. Coello Coello   +3 more
doaj   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Multi-objective optimization of active control system using population guidance and modified reference-point-based NSGA-II

Results in Control and Optimization
The optimization of the active control system is pivotal in achieving an acceptable performance level while minimizing control costs. The optimal location of actuators, efficient control force, and adequate vibration reduction are critical objectives in ...
Socio Jiwapatria, Herlien Dwiarti Setio, Indra Djati Sidi, Patria Kusumaningrum   +3 more
doaj   +1 more source

A Multi-Objective Optimization Model Using Improved NSGA-II for Optimizing Metal Mines Production Process

IEEE Access, 2020
Production process optimization is an indispensable step in industrial production. The optimization of the metal mines production process (MMPP) can increase production efficiency and thus promote the utilization rate of the metal mineral resources in ...
Xiaowei Gu, Xunhong Wang, Zaobao Liu, Wenhua Zha, Xiaochuan Xu, Minggui Zheng   +5 more
doaj   +1 more source

Optimization of an appointment scheduling problem for healthcare systems based on the quality of fairness service using whale optimization algorithm and NSGA-II

Scientific Reports, 2021
Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management. Healthcare schedulers typically refer patients to a suitable period of service before the admission call closes. The appointment date can
A. Ala, F. Alsaadi, M. Ahmadi, Seyedali Mirjalili   +3 more
semanticscholar   +1 more source

Design and Optimization of a Double‐Column Vapor Recompression Heat Pump Distillation Process via NSGA‐II for Separating Ternary Wide‐Boiling Mixtures

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a novel double‐column vapor recompression heat pump (DCVRHP) distillation process for separating ternary wide‐boiling‐range mixtures under two different vapor conditions: n‐hexane/n‐heptane/n‐octane using low pressure steam and n‐hexanol/n‐octanol/n‐decanol using high pressure steam.
Zeyang Li, Xiaoxin Gao, Xiaoyu Kang, Ruijie Wang, Xiyuan Chen   +4 more
wiley   +1 more source