An improved NSGA2 to solve a bi-objective optimization problem of multi-state electronic transaction network

CT Yeh - Reliability Engineering & System Safety, 2019 - Elsevier
An electronic transaction network (ETN) plays a very important role in communications
among trading partners. Transmission reliability is of concern to system supervisors. This …

[PDF][PDF] Vehicles circuits optimization by combining GPS/GSM information with metaheuristic algorithms

B Beldjilali, B Benadda, Z Sadouni - Romanian Journal of …, 2020 - researchgate.net
This paper deals with the design of an intelligent decision system based on embedded
tracked technology. The proposed system gives users the opportunity to solve the problem …

Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques

K Elsayed, C Lacor - Applied Mathematics and Computation, 2014 - Elsevier
The dual response surface methodology is one of the most commonly used approaches in
robust parameter design to simultaneously optimize the mean value and keep the variance …

Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms

SV Razavi-Termeh, A Sadeghi-Niaraki, RA Naqvi… - Environmental …, 2023 - Elsevier
To mitigate the impact of dust on human health and the environment, it is crucial to create a
model and map that identifies the areas susceptible to dust. The present study focused on …

Multi-objective evolutionary algorithm-enabled multi-stage collaborative scheduling for automotive production

X Zhang, C Li, J Zhang, M Yang, W Wu - Computers & Industrial …, 2024 - Elsevier
In the automotive industry, considering all the process workshops as a whole in terms of
production scheduling becomes much more significant for the enhancement and …

A review of metaheuristic algorithms for optimizing 3D well-path designs

K Biswas, PM Vasant, JAG Vintaned… - Archives of Computational …, 2021 - Springer
Due to a variety of possible good types and so many complex drilling variables and
constraints, optimization of the trajectory of a complex wellbore is very challenging. There …

Metaheuristic optimization techniques used in controlling of an active magnetic bearing system for high-speed machining application

S Gupta, PK Biswas, S Debnath, A Ghosh… - IEEE …, 2023 - ieeexplore.ieee.org
Smart control tactics, wider stability region, rapid reaction time, and high-speed performance
are essential requirements for any controller to provide a smooth, vibrationless, and efficient …

Scheduling of mobile robots for transportation and manufacturing tasks

QV Dang, CT Nguyen, H Rudová - Journal of Heuristics, 2019 - Springer
Current manufacturing systems have a tendency to become more and more flexible to adapt
to the needs of product diversification. Such a system, eg flexible manufacturing system …

[HTML][HTML] Parallel genetic algorithms with GPU computing

JR Cheng, M Gen - Industry 4.0-Impact on Intelligent Logistics and …, 2020 - intechopen.com
Genetic algorithms (GAs) are powerful solutions to optimization problems arising from
manufacturing and logistic fields. It helps to find better solutions for complex and difficult …

Operational optimization of transit consolidation in multimodal transport

B Lv, B Yang, X Zhu, J Li - Computers & Industrial Engineering, 2019 - Elsevier
The transit consolidation problem considers simultaneous loading and unloading of cargo
to/from containers, is an extension of capacitated vehicle routing problem. For the small …