A hybrid swarming computing approach to solve the biological nonlinear Leptospirosis system

T Botmart, Z Sabir, MAZ Raja, MR Ali, R Sadat… - … Signal Processing and …, 2022 - Elsevier
This study indicates the design of swarming procedure based on the stochastic framework of
artificial neural networks (ANNs) along with the particle swarm optimization (PSO) and …

A framework for day-ahead optimal charging scheduling of electric vehicles providing route mapping: Kowloon case study

A Shahkamrani, H Askarian-Abyaneh, H Nafisi… - Journal of Cleaner …, 2021 - Elsevier
With the ever-increasing growth of electric vehicles (EV) s in the power industry, their
significance as a flexible load has increased drastically. On the other hand, uncontrolled …

Numerical optimization of the groove texture bottom profile for thrust bearings

W Wang, Y He, J Zhao, Y Li, J Luo - Tribology International, 2017 - Elsevier
Most of the previous studies on the surface texture were based on pre-determined shapes
and distributions, and the global-optimum shapes were uncertain. In this paper, a general …

Dynamic economic and emission dispatch model considering wind power under Energy Market Reform: A case study

F Hu, KJ Hughes, DB Ingham, L Ma… - International Journal of …, 2019 - Elsevier
With the increasing issues in the environmental and the high requirement for energy, the
Energy Market Reform (EMR) was introduced by the UK government. This paper develops a …

A generic hybrid model development for process analysis of industrial fixed-bed catalytic reactors

A Azarpour, TNG Borhani, SRW Alwi, ZA Manan… - … Research and Design, 2017 - Elsevier
Catalyst deactivation is one of the major concerns in industrial catalytic reactors. The
capability to perform detailed analysis of the catalytic process and its deactivation …

[图书][B] Evolutionary optimization algorithms

AQH Badar - 2021 - taylorfrancis.com
This comprehensive reference text discusses evolutionary optimization techniques, to find
optimal solutions for single and multi-objective problems. The text presents each …

Optimization of an auxetic jounce bumper based on Gaussian process metamodel and series hybrid GA-SQP algorithm

Y Wang, W Zhao, G Zhou, Q Gao, C Wang - Structural and …, 2018 - Springer
Jounce bumpers are indispensable components in vehicle suspension systems. It can
attenuate impact energy and improve the ride comfort performances during transient pulse …

An Experimental Approach on Industrial Pd-Ag Supported α-Al2O3 Catalyst Used in Acetylene Hydrogenation Process: Mechanism, Kinetic and Catalyst Decay

O Dehghani, MR Rahimpour, A Shariati - Processes, 2019 - mdpi.com
The current research presents an experimental approach on the mechanism, kinetic and
decay of industrial Pd-Ag supported α-Al2O3 catalyst used in the acetylene hydrogenation …

Hierarchical intelligent control method for mineral particle size based on machine learning

G Zou, J Zhou, T Song, J Yang, K Li - Minerals, 2023 - mdpi.com
Mineral particle size is an important parameter in the mineral beneficiation process. In
industrial processes, the grinding process produces pulp with qualified particle size for …

Energy Management Strategy of Hybrid Ships Using Nonlinear Model Predictive Control via a Chaotic Grey Wolf Optimization Algorithm

L Chen, D Gao, Q Xue - Journal of Marine Science and Engineering, 2023 - mdpi.com
Reducing energy consumption and carbon emissions from ships is a major concern. The
development of hybrid technologies offers a new direction for the rational distribution of …