scholarly journals Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 114361-114377
Author(s):  
Alberto Pajares ◽  
F. Xavier Blasco ◽  
Juan Manuel Herrero ◽  
Jose Vicente Salcedo
Keyword(s):  
Fuel Cell ◽  
Cooling System ◽  
Pem Fuel Cell ◽  
Optimization Approach ◽  
Optimal Solutions ◽  
Multi Objective Optimization ◽  
Nonlinear Identification ◽  
Multi Objective

Performance evaluation and multi-objective optimization of a novel UAV propulsion system based on PEM fuel cell

Fuel ◽  
2021 ◽  
pp. 122554
Author(s):  
Mehran Bahari ◽  
Majid Rostami ◽  
Ashkan Entezari ◽  
Sheida Ghahremani ◽  
Melika Etminan
Keyword(s):  
Performance Evaluation ◽  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Propulsion System ◽  
Multi Objective Optimization ◽  
Multi Objective

Robust multi-objective optimization for solving the RFID network planning problem

2021 ◽  
Vol 8 (4) ◽  
pp. 616-626
Author(s):  
S. Ait Lhadj Lamin ◽  
◽  
A. Raghib ◽  
B. Abou El Majd ◽  
◽  
...  
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
New Technology ◽  
Network Planning ◽  
Environmental Parameters ◽  
Planning Problem ◽  
Optimization Approach ◽  
Optimal Solutions ◽  
Multi Objective Optimization ◽  
Multi Objective

Radio-frequency identification (RFID) is a new technology used for identifying and tracking objects or people by radio-frequency waves to facilitate automated traceability and data collection. The RFID system consists of an electronic tag attached to an object, readers, and a middleware. In the latest real applications based on the RFID technology, the deployment of readers has become a central issue for RFID network planning by means of optimizing several objectives such as the coverage of tags, the number of readers, and the readers/tags interferences. In practice, the system is affected by uncertainty and uncontrollable environmental parameters. Therefore, the optimal solutions to the RFID network planning problem can be significantly reduced with uncontrollable variations in some parameters, such as the reader's transmitted power. In this work, we propose a robust multi-objective optimization approach to solve the deployment of RFID readers. In this way, we achieve robust optimal solutions that are insensitive to uncertainties in the optimization parameters.

Energy, exergy, environmental and economic analyzes (4E) and multi-objective optimization of a PEM fuel cell equipped with coolant channels

2022 ◽  
Vol 157 ◽  
pp. 112021
Author(s):  
Bing Mei ◽  
Pouya Barnoon ◽  
Davood Toghraie ◽  
Chia-Hung Su ◽  
Hoang Chinh Nguyen ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-objective optimization of a vehicular PEM fuel cell system

2011 ◽  
Vol 31 (13) ◽  
pp. 2171-2176 ◽  
Author(s):  
Suha Orçun Mert ◽  
Zehra Özçelik ◽  
Yavuz Özçelik ◽  
Ibrahim Dinçer
Keyword(s):  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Multi Objective Optimization ◽  
Fuel Cell System ◽  
Multi Objective

Multi-Objective Optimization for a Novel Electrostatic-Feedback Micro-Sensor Based on Genetic Algorithm

2007 ◽  
Author(s):  
Yongquan Wang ◽  
Hualing Chen ◽  
Zhiying Ou ◽  
Xueming He
Keyword(s):  
Genetic Algorithm ◽  
Multidisciplinary Design Optimization ◽  
Optimal Solution ◽  
Optimization Approach ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Micro Sensor ◽  
Energy Relations

In this paper, we present the multi-objective optimization for an entire microsystem, a novel capacitive electrostatic feedback accelerometer. From the energy relations of the coupled electrostatic-field, the dynamic model of the system is constructed. Aiming at the global performance, a multi-objective optimization model, where sensitivity, resolution and damping resonant frequency are selected as objectives, is established based on the concept of multidisciplinary design optimization (MDO). Genetic algorithm (GA) is used to solve this problem, and compared with a traditional optimization approach, sequence quadratic programming (SQP). Both the two algorithms can achieve our aim commendably, and the optimal solution given by GA is more satisfied. The research provides us a good foundation to develop the stochastic and implicit parallel properties of GA to obtain Pareto optimal solutions.

Multi-objective optimization of a chip-attached micro pin fin liquid cooling system

2021 ◽  
pp. 117187
Author(s):  
Vahideh Radmard ◽  
Yaser Hadad ◽  
Srikanth Rangarajan ◽  
Cong H. Hoang ◽  
Najmeh Fallahtafti ◽  
...  
Keyword(s):  
Cooling System ◽  
Multi Objective Optimization ◽  
Liquid Cooling ◽  
Multi Objective ◽  
Pin Fin ◽  
Liquid Cooling System
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