[HTML][HTML] Improved adaptive genetic algorithm for the vehicle Insurance Fraud Identification Model based on a BP Neural Network

C Yan, M Li, W Liu, M Qi - Theoretical Computer Science, 2020 - Elsevier
With the development of the insurance industry, insurance fraud is increasing rapidly. The
existence of insurance fraud considerably hinders the development of the insurance …

Heat transfer performance prediction of Taylor–Couette flow with longitudinal slits using artificial neural networks

SL Sun, D Liu, YZ Wang, HB Kim, M Hassan… - Applied Thermal …, 2023 - Elsevier
A numerical analysis is performed to examine the heat transfer performance of turbulence
inside coaxial cylinders with complex slit surfaces. The comparison is conducted for various …

Optimization design of passive residual heat removal system based on improved genetic algorithm

G Xia, Y Bi, C Wang - Annals of Nuclear Energy, 2023 - Elsevier
The passive residual heat removal system can improve the inherent safety of the nuclear
power plant (NPP). Adopting the passive residual heat removal system is an important trend …

A complex paleo‐surface revealed by the Yutu‐2 rover at the lunar farside

J Lai, Y Xu, R Bugiolacchi, HK Wong… - Geophysical …, 2021 - Wiley Online Library
The observable lunar surface is represented by a ubiquitous layer of fine‐grained materials
produced by billions of years of hypervelocity pounding of its crustal layer. The data from the …

Application research of a new neighbourhood structure with adaptive genetic algorithm for job shop scheduling problem

Z Liang, M Liu, P Zhong, C Zhang - International Journal of …, 2023 - Taylor & Francis
The job shop scheduling problem (JSSP) is to find the optimal jobs sequence to optimise
one or more performance indicators and makespan is the most common optimisation target …

Optimization method for distributed database query based on an adaptive Double entropy genetic algorithm

B Zheng, X Li, Z Tian, L Meng - IEEE Access, 2022 - ieeexplore.ieee.org
In a distributed database environment, multi-join query optimization is one of the key factors
affecting database performance. Genetic algorithms have a good application in dealing with …

Calculation of dielectric constant, loss property and scattering characteristics from the future martian GPR data

L Zhang, Y Xu, R Chen, HK Wong, J Lai, X Meng… - Icarus, 2022 - Elsevier
In 2021, the Perseverance rover and the Zhurong rover, both of which carry GPRs (Ground-
penetrating radars), commenced their operations on martian soil to explore the shallow …

[HTML][HTML] An improved multi-label learning method with ELM-RBF and a synergistic adaptive genetic algorithm

D Zhang, P Li, A Wulamu - Algorithms, 2022 - mdpi.com
Profiting from the great progress of information technology, a huge number of multi-label
samples are available in our daily life. As a result, multi-label classification has aroused …

Adaptive genetic algorithm based on mutation and crossover and selection probabilities

A Damia, M Esnaashari… - 2021 7th International …, 2021 - ieeexplore.ieee.org
The Genetic Algorithm (GA) is an explore technique used to solve issues in many different
applications. The genetic algorithm has some parameters, including crossover probability …

An improved adaptive genetic algorithm for mobile robot path planning analogous to the ordered clustered TSP

J Jiang, X Yao, E Yang, J Mehnen… - 2020 IEEE Congress on …, 2020 - ieeexplore.ieee.org
The material transportation planning with a mobile robot can be regarded as the ordered
clustered traveling salesman problem. To solve such problems with different priorities at …