Article
Computer Science, Artificial Intelligence
Qian Sun, Fengbo Yang, Xingyun Yu, Xiaoyi Wang, Jiping Xu, Ning Cao, Huiyan Zhang, Li Wang, Jiabin Yu
Summary: This paper discusses the application of water quality sensor networks in monitoring water environment, early warning, and prevention of water pollution. By establishing water area characteristic model and Gaussian plume model, the key monitoring areas and their impact range are determined. With the deployment of sensors using particle swarm optimization, better monitoring of key areas and maximum coverage of other regions are achieved.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Pakarat Musikawan, Yanika Kongsorot, Paisarn Muneesawang, Chakchai So-In
Summary: This paper introduces an improved competitive swarm optimizer that incorporates virtual force algorithm and Voronoi diagram to enhance the coverage performance and energy efficiency of wireless sensor networks.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Dalia H. Y. Taha, Huseyin Haci, Ali Serener
Summary: This paper introduces a novel channel/QoS aware downlink scheduler algorithm called AFTOS for ultra-dense networks, aiming to improve system spectrum efficiency and user throughput, and enhance fairness, delay, and packet loss ratio. Experimental results show that AFTOS algorithm outperforms alternative techniques.
Article
Engineering, Electrical & Electronic
Fadhel Ayed, Antonio De Domenico, Adrian Garcia-Rodriguez, David Lopez-Perez
Summary: In this article, we propose the design of ad hoc AI/ML models for future smart infrastructures based on communication networks. We review key operations for AI/ML model transfer through 5G networks and existing techniques to reduce communication overheads. We introduce Accordion, a novel communication-aware ML framework, which enables efficient AI/ML model transfer through improved training and communication protocols. We demonstrate the benefits, performance trade-offs, and potential research directions within this realm.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Computer Science, Software Engineering
Xu Guo, Xiaoyu Song, Jian-tao Zhou, Feiyu Wang, Kecheng Tang, Zhuowei Wang
Summary: This paper proposes a hybrid heuristic memetic algorithm called QSSMA for high-strength CAG problem. The QSSMA method can successfully build high-strength test suites for instances where t is up to 15 within one day, and it achieves five new best test suite size records.
Article
Engineering, Multidisciplinary
Abhishek Hazra, Mainak Adhikari, Tarachand Amgoth, Satish Narayana Srirama
Summary: This paper aims to design an intelligent service deployment strategy for handling dynamic service requests and edge resources in Industrial Internet of Things (IIoT) networks. By utilizing a heuristic-based task execution strategy and Deep Reinforcement Learning (DRL), the proposed strategy can learn and control the industrial networks, efficiently handling as many service requests as possible by utilizing available edge servers.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Industrial
Xiaofeng Xu, Ziru Lin, Xiang Li, Changjing Shang, Qiang Shen
Summary: This study addresses the refined oil distribution problem with shortages using a multi-objective optimization approach, including a robust optimization model (ROM) to manage uncertainty in demand and a multi-objective particle swarm optimization (MOPSO) algorithm. Results show that these models and algorithms effectively improve station satisfaction, reduce operation costs and overtime penalties, providing possibilities for the efficient distribution of scarce resources.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Chemistry, Analytical
Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu
Summary: This research proposes two PSO variants for feature selection tasks to overcome shortcomings of the original PSO model. The first variant includes four operations, while the second enhances the first with four new strategies. Compared with other methods, these models demonstrate statistical superiority on 13 datasets.
Article
Computer Science, Artificial Intelligence
Reem E. Mohamed, Robert Hunjet, Saber Elsayed, Hussein Abbass
Summary: Swarm cohesion is important for success in swarm guidance, but limited sensing range can cause swarm fragmentation and mission failure. This study proposes a connectivity-aware shepherding mechanism to improve swarm cohesion under sensing constraints. The methodology combines a graph-based model of the flock with particle swarm optimization and data clustering algorithms to identify effective herding points and guide the swarm towards the goal. Evaluation of multiple swarm configurations shows that the proposed methodology outperforms classic shepherding, reducing task completion time by half and doubling mission success rate.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Ashish Jain, Manoj Kumar Bohra
Summary: This paper proposes an improved binary particle swarm optimization technique for efficiently solving binary optimization problems, by introducing improved particle velocity updating and an on/off mutation strategy. The experimental results show that this technique achieves high accuracy and convergence in solving the considered knapsack cryptosystems.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2022)
Article
Engineering, Electrical & Electronic
Mohd Herwan Sulaiman, Zuriani Mustaffa
Summary: This paper explores the application of various metaheuristic algorithms to solve the OPF problem and evaluates their performance on a modified IEEE 30-bus system. The results indicate that BMO outperforms other algorithms and can be an effective alternative for solving the OPF problem.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2021)
Article
Engineering, Industrial
Fehmi Burcin Ozsoydan, Ilker Golcuk
Summary: This paper introduces a cooperative approach using swarm intelligence algorithm and linear programming solver to solve the capacitated facility location problem. The proposed strategy decomposes the problem into two sub-problems and utilizes an improved algorithm and optimization model for solving. The experimental results show promising performance of the proposed strategy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Hardware & Architecture
Xiaojie Liu, Xingwei Wang, Jie Jia, Min Huang
Summary: The study investigates the 3-dimensional coverage deployment problem in Wireless Robotic Networks (WRNs) and proposes a distributed deployment algorithm that maximizes coverage area by decoupling the problem in altitude and horizontal dimensions. The algorithm utilizes Particle Swarm Optimization for local deployment and evaluates local coverage area using Voronoi Diagram. Performance evaluations demonstrate the effectiveness of the proposed algorithm.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Mohammad Reza Sharifi, Saeid Akbarifard, Kourosh Qaderi, Mohamad Reza Madadi
Summary: The study employed five robust evolutionary algorithms for optimal operation of a multi-reservoir system and found that the MSA algorithm performed the best in terms of objective function value, CPU run-time, and convergence rate. This suggests that the application of robust EAs, particularly the MSA algorithm, is recommended to improve the operation policies of multi-reservoir systems.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Electrical & Electronic
Yamin Han, Bo Yang, Heejung Byun
Summary: This study optimizes the deployment of actuators in wireless sensor networks using the hierarchical intermittent communication particle swarm optimization (HICPSO) method, considering the coverage rate of actuators to sensor nodes and the energy consumption rate of sensor nodes as optimization goals to balance energy consumption among sensor nodes and solve energy hole problem. The proposed method effectively increases the coverage rate of actuators to sensor nodes, reduces the energy consumption rate of the sensor nodes, and reduces the packet drop ratio, showing improved performance compared to traditional methods.
IEEE SENSORS JOURNAL
(2021)