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View article: An Improved Crested Porcupine Optimization Algorithm Incorporating Butterfly Search and Triangular Walk Strategies
An Improved Crested Porcupine Optimization Algorithm Incorporating Butterfly Search and Triangular Walk Strategies Open
The Crested Porcupine Optimizer (CPO), as a newly emerging swarm intelligence algorithm, demonstrates advantages in balancing global exploration and local exploitation but still suffers from limitations in convergence speed and local explo…
View article: A Coverage Optimization Approach for Wireless Sensor Networks Using Swarm Intelligence Optimization
A Coverage Optimization Approach for Wireless Sensor Networks Using Swarm Intelligence Optimization Open
WSN coverage optimization faces two key challenges: firstly, traditional algorithms are prone to getting stuck in local optima, leading to ‘coverage holes’ in node deployment; Secondly, in dynamic scenarios (such as imbalanced energy consu…
View article: Coverage optimization strategy for 3D wireless sensor network based on adaptive inertia weight Arctic Puffin Optimization Algorithm
Coverage optimization strategy for 3D wireless sensor network based on adaptive inertia weight Arctic Puffin Optimization Algorithm Open
A multi-strategy improved Arctic Puffin Optimization Algorithm (CAAPO) based node coverage optimization approach is provided to tackle the problems of unequal node deployment and low coverage in wireless sensor networks (WSNs). Drawing ins…
View article: Sailfish Optimization Algorithm Integrated with the Osprey Optimization Algorithm and Cauchy Mutation and Its Engineering Applications
Sailfish Optimization Algorithm Integrated with the Osprey Optimization Algorithm and Cauchy Mutation and Its Engineering Applications Open
From collective intelligence to evolutionary computation and machine learning, symmetry can be leveraged to enhance algorithm performance, streamline computational procedures, and elevate solution quality. Grasping and leveraging symmetry …
View article: Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm
Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm Open
The Black-winged Kite Optimization Algorithm (BKA) is likely to experience a sluggish convergence rate when confronted with the optimization of complex multimodal functions. The fundamental algorithm has a tendency to get stuck in local op…
View article: Snake Optimization Algorithm Augmented by Adaptive t-Distribution Mixed Mutation and Its Application in Energy Storage System Capacity Optimization
Snake Optimization Algorithm Augmented by Adaptive t-Distribution Mixed Mutation and Its Application in Energy Storage System Capacity Optimization Open
To address the drawbacks of the traditional snake optimization method, such as a random population initialization, slow convergence speed, and low accuracy, an adaptive t-distribution mixed mutation snake optimization strategy is proposed.…
View article: Heuristic Optimization Algorithm of Black-Winged Kite Fused with Osprey and Its Engineering Application
Heuristic Optimization Algorithm of Black-Winged Kite Fused with Osprey and Its Engineering Application Open
Swarm intelligence optimization methods have steadily gained popularity as a solution to multi-objective optimization issues in recent years. Their study has garnered a lot of attention since multi-objective optimization problems have a ha…
View article: Hybrid Multi-Objective Chameleon Optimization Algorithm Based on Multi-Strategy Fusion and Its Applications
Hybrid Multi-Objective Chameleon Optimization Algorithm Based on Multi-Strategy Fusion and Its Applications Open
Aiming at the problems of chameleon swarm algorithm (CSA), such as slow convergence speed, poor robustness, and ease of falling into the local optimum, a multi-strategy improved chameleon optimization algorithm (ICSA) is herein proposed. F…
View article: A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems
A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems Open
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-ESS) play an important role in improving energy efficiency, ensuring grid stability and promoting energy transition. As an important part of the micro-…
View article: A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges
A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges Open
The application of optimization theory and the algorithms that are generated from it has increased along with science and technology's continued advancement. Numerous issues in daily life can be categorized as combinatorial optimization is…
View article: Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration
Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration Open
Personalized recommender systems play a crucial role in assisting users in discovering items of interest from vast amounts of information across various domains. However, developing accurate personalized recommender systems remains challen…
View article: Solving Engineering Optimization Problems Based on Multi-Strategy Particle Swarm Optimization Hybrid Dandelion Optimization Algorithm
Solving Engineering Optimization Problems Based on Multi-Strategy Particle Swarm Optimization Hybrid Dandelion Optimization Algorithm Open
In recent years, swarm intelligence optimization methods have been increasingly applied in many fields such as mechanical design, microgrid scheduling, drone technology, neural network training, and multi-objective optimization. In this pa…
View article: A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications
A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications Open
In recent years, swarm intelligence optimization algorithms have been proven to have significant effects in solving combinatorial optimization problems. Introducing the concept of evolutionary computing, which is currently a hot research t…
View article: A Multi-Objective Optimization Problem Solving Method Based on Improved Golden Jackal Optimization Algorithm and Its Application
A Multi-Objective Optimization Problem Solving Method Based on Improved Golden Jackal Optimization Algorithm and Its Application Open
The traditional golden jackal optimization algorithm (GJO) has slow convergence speed, insufficient accuracy, and weakened optimization ability in the process of finding the optimal solution. At the same time, it is easy to fall into local…
View article: Towards an Optimal KELM Using the PSO-BOA Optimization Strategy with Applications in Data Classification
Towards an Optimal KELM Using the PSO-BOA Optimization Strategy with Applications in Data Classification Open
The features of the kernel extreme learning machine—efficient processing, improved performance, and less human parameter setting—have allowed it to be effectively used to batch multi-label classification tasks. These classic classification…
View article: Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization
Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization Open
Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot res…
View article: An Energy-Saving and Efficient Deployment Strategy for Heterogeneous Wireless Sensor Networks Based on Improved Seagull Optimization Algorithm
An Energy-Saving and Efficient Deployment Strategy for Heterogeneous Wireless Sensor Networks Based on Improved Seagull Optimization Algorithm Open
The Internet of Things technology provides convenience for data acquisition in environmental monitoring and environmental protection and can also avoid invasive damage caused by traditional data acquisition methods. An adaptive cooperative…
View article: Bio-Inspired Swarm Intelligence Optimization Algorithm-Aided Hybrid TDOA/AOA-Based Localization
Bio-Inspired Swarm Intelligence Optimization Algorithm-Aided Hybrid TDOA/AOA-Based Localization Open
A TDOA/AOA hybrid location algorithm based on the crow search algorithm optimized by particle swarm optimization is proposed to address the challenge of solving the nonlinear equation of time of arrival (TDOA/AOA) location in the non-line-…
View article: A Novel Topology Optimization Protocol Based on an Improved Crow Search Algorithm for the Perception Layer of the Internet of Things
A Novel Topology Optimization Protocol Based on an Improved Crow Search Algorithm for the Perception Layer of the Internet of Things Open
In wireless sensor networks, each sensor node has a finite amount of energy to expend. The clustering method is an efficient way to deal with the imbalance in node energy consumption. A topology optimization technique for wireless sensor n…
View article: A TDOA/AOA Hybrid Positioning Based on Improved Sparrow Search Algorithm for Mobile Position Estimation
A TDOA/AOA Hybrid Positioning Based on Improved Sparrow Search Algorithm for Mobile Position Estimation Open
To address the difficulty in calculating the nonlinear equation of time difference of arrival (TDOA) positioning, as well as the problem of measurement error in the hybrid time difference of arrival/angle of arrival (TDOA/AOA) positioning …
View article: An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks
An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks Open
Multipath data transmission is a key problem that needs to be solved urgently in wireless sensor networks. In this paper, sensor node failure, link failure, energy exhaustion, and external interference affect the stability and reliability …
View article: Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things
Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things Open
With the rapid development of the economy and society, the low efficiency and high loss of the traditional power grid can no longer meet the growing social demand, and the power grid market is facing a reform. Smart grid, as a next-generat…
View article: Novel WSN Coverage Optimization Strategy via Monarch Butterfly Algorithm and Particle Swarm Optimization
Novel WSN Coverage Optimization Strategy via Monarch Butterfly Algorithm and Particle Swarm Optimization Open
Wireless sensor networks (WSNs) show disadvantages of redundancy and relatively high network cost. Aiming at the problems of redundancy and increased network cost in the deployment of nodes in the wireless sensor network. Taking network co…
View article: A Data Collection Method for Mobile Wireless Sensor Networks Based on Improved Dragonfly Algorithm
A Data Collection Method for Mobile Wireless Sensor Networks Based on Improved Dragonfly Algorithm Open
For the sensing layer of the Internet of Things, the mobile wireless sensor network has problems such as limited energy of the sensor nodes, unbalanced energy consumption, unreliability, and long transmission delay in the data collection p…
View article: Data Collection Strategy Based on OSELM and Gray Wolf Optimization Algorithm for Wireless Sensor Networks
Data Collection Strategy Based on OSELM and Gray Wolf Optimization Algorithm for Wireless Sensor Networks Open
In order to effectively reduce the energy consumption, improve the efficiency of data collection in HWSNs, and prolong the lifetime of the overall network, the clustering method is one of the most effective methods in the data collection m…
View article: Mobile Sink‐Based Path Optimization Strategy in Heterogeneous WSNs for IoT Using Pigeon‐Inspired Optimization Algorithm
Mobile Sink‐Based Path Optimization Strategy in Heterogeneous WSNs for IoT Using Pigeon‐Inspired Optimization Algorithm Open
Data collection is the basic purpose of deploying in heterogeneous WSNs for Internet of things, and the problem of data collection is the key problem that needs to be solved in heterogeneous WSNs. How to collect energy‐efficient and reliab…
View article: Improved whale optimization algorithm and its application in heterogeneous wireless sensor networks
Improved whale optimization algorithm and its application in heterogeneous wireless sensor networks Open
Aiming at the problems of node redundancy and network cost increase in heterogeneous wireless sensor networks, this article proposes an improved whale optimization algorithm coverage optimization method. First, establish a mathematical mod…
View article: A novel topology optimization of coverage-oriented strategy for wireless sensor networks
A novel topology optimization of coverage-oriented strategy for wireless sensor networks Open
Aiming at the key optimization problems of wireless sensor networks in complex industrial application environments, such as the optimum coverage and the reliability of the network, a novel topology optimization of coverage-oriented strateg…
View article: A Novel Coverage Optimization Strategy Based on Grey Wolf Algorithm Optimized by Simulated Annealing for Wireless Sensor Networks
A Novel Coverage Optimization Strategy Based on Grey Wolf Algorithm Optimized by Simulated Annealing for Wireless Sensor Networks Open
The coverage optimization problem of wireless sensor network has become one of the hot topics in the current field. Through the research on the problem of coverage optimization, the coverage of the network can be improved, the distribution…