[HTML][HTML] Ranking of Pareto-optimal solutions and selecting the best solution in multi-and many-objective optimization problems using R-method

RV Rao, RJ Lakshmi - Soft Computing Letters, 2021 - Elsevier
This paper presents a new multi-attribute decision-making (MADM) method, named as R-
method, for ranking of Pareto-optimal solutions and selecting the best solution in multi-and …

State of health assessment for echelon utilization batteries based on deep neural network learning with error correction

Z Wei, X Han, J Li - Journal of Energy Storage, 2022 - Elsevier
The accurate prediction of the state of health for retired batteries is the premise to ensure the
safe and efficient operation of echelon utilization batteries. Aiming at the problems of limited …

Application of artificial intelligence in college dance teaching and its performance analysis

Y Wang, G Zheng - … Journal of Emerging Technologies in Learning …, 2020 - learntechlib.org
Artificial intelligence (AI) has not been widely and deeply implemented in dance teaching of
colleges. To solve the problem, this paper identifies the problems with the AI in college …

Generation of microholes on GFRP composite using ES-µ-ECDM system

KVJ Bhargav, P Shanthan, PS Balaji, RK Sahu… - CIRP Journal of …, 2022 - Elsevier
Microfeatures fabrication on FRPs is very essential nowadays because of its growing
demand in various industries like aerospace, automobile, space, marine, etc. Glass fiber …

Comprehensive analysis of the performance of the coaxial heat exchanger with turbulators

E Turgut, U Yardımcı - International Journal of Thermal Sciences, 2022 - Elsevier
In this study, effects of semicircular striped turbulators, inserted into inner tube of a coaxial
heat exchanger on the heat transfer (Nu), friction factor (f) and thermal performance factor …

Experimental investigation on machining characteristics of titanium processed using electrolyte sonicated µ-ECDM system

KVJ Bhargav, PS Balaji, RK Sahu, M Leblouba - Scientific Reports, 2022 - nature.com
Micromachining of difficult-to-machine materials is of prime focus nowadays. One such
material is Titanium, which has numerous applications in aerospace, chemical, and …

Quality characteristic extraction for complex products with multi-granular fuzzy language based on the triple bottom lines of sustainability

Z Hong, Y Feng, Y Wang, B Hu, Z Zhang, H Qiu… - Computers & Industrial …, 2022 - Elsevier
Advanced product optimization design methods can greatly improve the market
competitiveness of enterprises in manufacturing industry and promote the sustainable …

Research on the Measurement of Low-Carbon Competitiveness of Regional Cold Chain Logistics Capacity Based on Triangular Fuzzy Evaluation Rating–Gray …

J Yu, S Zhang - Sustainability, 2024 - mdpi.com
Cold chain logistics is an industry that generates high levels of carbon emissions. In the
context of a low-carbon economy, it is crucial to recognize the low-carbon competitiveness of …

Multi-objective cell configuration considering part quality and machine compatibility

H Heydari, MM Paydar, I Mahdavi, A Khatayi - Neural Computing and …, 2024 - Springer
We formulate the generalized group technology concept in cellular manufacturing under two
new assumptions. Each process routing is indexed by a level of quality and each pair of …

Sensitive Feature Selection for Industrial Flotation Process Soft Sensor based on Multi swarm PSO with Collaborative Search

S Xie, Y Yu, Y Xie, Z Tang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Concentrate grade and recovery are key production indexes (KPIs) for industrial flotation
process. To establish the soft sensor model of the concentrate grade and recovery, a lot of …