|
|
|
|
|
Zhi Quan, Hailong Zhang, Jiyu Luo and Haijun Sun
Signal modulation recognition is often reliant on clustering algorithms. The fuzzy c-means (FCM) algorithm, which is commonly used for such tasks, often converges to local optima. This presents a challenge, particularly in low-signal-to-noise-ratio (SNR)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xue Dai, Xiaoqin Li, Yuguang Zhang, Wenping Li, Xiangsheng Meng, Liangning Li and Yanbo Han
With the gradual increase of coal production capacity, the issue of water hazards in coal seam roofs is increasing in prominence. Accurate and effective prediction of the water content of the roof aquifer, based on limited hydrogeological data, is critic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinzhe Wang and Wenbin Yao
Transmission task static allocation (TTSA) is one of the most important issues in the automatic management of radio and television stations. Different transmission tasks are allocated to the most suitable transmission equipment to achieve the overall opt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuangxi Liu, Fengping Huang, Binbin Yan, Tong Zhang, Ruifan Liu and Wei Liu
In an effort to maximize the combat effectiveness of multimissile groups, this paper proposes an adaptive simulated annealing?particle swarm optimization (SA-PSO) algorithm to enhance the design parameters of multimissile formations based on the concept ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ze Liao, Tao Feng, Weijian Yu, Dongge Cui and Genshui Wu
Microseismic source location is the core of microseismic monitoring technology in coal mining; it is also the advantage of microseismic monitoring technology compared with other monitoring methods. The source location method directly determines the accur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhuo-Qiang Zhao, Shi-Jian Liu and Jeng-Shyang Pan
The PID (proportional?integral?derivative) controller is the most widely used control method in modern engineering control because it has the characteristics of a simple algorithm structure and easy implementation. The traditional PID controller, in the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohamed A. Shamseldin
This paper presents an efficient coronavirus optimization algorithm (CVOA) to find the optimal values of the PID controller to track a preselected reference speed of a brushless DC (BLDC) motor under several types of disturbances. This work simulates how...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianhua Zheng, Jiabin Wang and Yuxiang Cai
In hybrid mixed-flow workshop scheduling, there are problems such as mass production, mass manufacturing, mass assembly and mass synthesis of products. In order to solve these problems, combined with the Spark platform, a hybrid particle swarm algorithm ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daphne Teck Ching Lai and Yuji Sato
Previously, cluster-based multi or many objective function techniques were proposed to reduce the Pareto set. Recently, researchers proposed such techniques to find better solutions in the objective space to solve engineering problems. In this work, we a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elena Petrovna Dogadina, Michael Viktorovich Smirnov, Aleksey Viktorovich Osipov and Stanislav Vadimovich Suvorov
This article deals with the multicriteria programming model to optimize the time of completing home assignments by school students in both in-class and online forms of teaching. To develop a solution, we defined 12 criteria influencing the school exercis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ding-Peng Liu, Tsung-Yueh Lin and Hsin-Haou Huang
When solving real-world problems with complex simulations, utilizing stochastic algorithms integrated with a simulation model appears inefficient. In this study, we compare several hybrid algorithms for optimizing an offshore jacket substructure (JSS). M...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohamed Hamada and Mohammed Hassan
Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques. However, most of the existing recommender sys...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iwan Syarif
Pág. 277 - 290
This paper describes the advantages of using Evolutionary Algorithms (EA) for feature selection on network intrusion dataset. Most current Network Intrusion Detection Systems (NIDS) are unable to detect intrusions in real time because of high dimensional...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tahsin Koroglu and Elanur Ekici
In recent years, wind energy has become remarkably popular among renewable energy sources due to its low installation costs and easy maintenance. Having high energy potential is of great importance in the selection of regions where wind energy investment...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaohu Luo, Kai Liu, Yanliang Pei, Chenguang Liu, Xishuang Li and Yibao Xiao
When marine deep-towed multichannel seismic data are processed, the description of the receiving array geometry significantly impacts the quality of the imaging profile. Therefore, achieving a highly precise description of the receiving array geometry is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando
MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullahi T. Sulaiman, Habeeb Bello-Salau, Adeiza J. Onumanyi, Muhammed B. Mu?azu, Emmanuel A. Adedokun, Ahmed T. Salawudeen and Abdulfatai D. Adekale
The particle swarm optimization (PSO) algorithm is widely used for optimization purposes across various domains, such as in precision agriculture, vehicular ad hoc networks, path planning, and for the assessment of mathematical test functions towards ben...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying-Qing Guo, Meng Li, Yang Yang, Zhao-Dong Xu and Wen-Han Xie
As a typical intelligent device, magnetorheological (MR) dampers have been widely applied in vibration control and mitigation. However, the inherent hysteresis characteristics of magnetic materials can cause significant time delays and fluctuations, affe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Petr Kadlec
This paper aims to solve the space robot pathfinding problem, formulated as a multi-objective (MO) optimization problem with a variable number of dimensions (VND). This formulation enables the search and comparison of potential solutions with different m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ioannis X. Tassopoulos, Christina A. Iliopoulou, Iosif V. Katsaragakis and Grigorios N. Beligiannis
This paper deals with the school timetabling problem. The problem was formulated as encountered in a typical Greek high school. A local version of the particle swarm optimization algorithm was developed and applied to the problem at hand. Results on well...
ver más
|
|
|
|
|
|