A Study on Particle Swarm Algorithm Based on Restart Strategy and Adaptive Dynamic Mechanism

Article Engineering, Multidisciplinary

Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches

Shun-Peng Zhu et al.

Summary: This study proposes two improved particle swarm optimization algorithms to enhance the convergence rate and global convergence of structural reliability analysis. The experimental results show that the proposed methods using improved PSO algorithms are more robust and efficient than the traditional FORM methods for solving high-dimensional engineering problems.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Information Systems

Coverage Optimization of Wireless Sensor Networks Using Combinations of PSO and Chaos Optimization

Qiang Zhao et al.

Summary: This article proposes a research on coverage optimization using a combination of particle swarm optimization (PSO) and chaos optimization. By encoding sensor locations and using PSO and Variable Domain Chaos Optimization Algorithm (VDCOA), the coverage rate can be increased with improved evenness and average moving distance. Through experimental verification, this method shows better performance compared to traditional methods, with the version using the circle map performing the best.

ELECTRONICS (2022)

添加到收藏夹

Article Computer Science, Information Systems

A Hybrid Routing Protocol Based on Naive Bayes and Improved Particle Swarm Optimization Algorithms

Xun Wang et al.

Summary: This paper proposes a hybrid routing algorithm based on Naive Bayes and improved particle swarm optimization algorithms for clustering sensor nodes. Simulation evaluations show that the algorithm outperforms other comparable algorithms in terms of energy consumption and network sustainability.

ELECTRONICS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve

Baoye Song et al.

Summary: This paper presents a new strategy for planning smooth paths for mobile robots using an improved PSO algorithm and continuous high-degree Bezier curves. The improved PSO algorithm effectively addresses local trapping and premature convergence issues, while experiments confirm the advantages of the new strategy.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Information Systems

Particle Swarm Optimization Combined with Inertia-Free Velocity and Direction Search

Kun Miao et al.

Summary: The paper proposes a novel hybrid algorithm (SDPSO) that combines static exploitation (SE) and direction search (DS) strategies into the original PSO, improving both exploration and intensifying local search. Experimental results show that SDPSO has a competitive performance compared to other optimization algorithms.

ELECTRONICS (2021)

添加到收藏夹

Article Computer Science, Theory & Methods

Multi-robot path planning in wireless sensor networks based on jump mechanism PSO and safety gap obstacle avoidance

Shasha Tian et al.

Summary: This paper adopted JPSO and SGOA algorithms for multi-robot path planning and obstacle avoidance experiments, and the results showed that JPSO algorithm has higher accuracy and faster convergence speed than other improved PSO algorithms, while SGOA algorithm can effectively solve the dynamic obstacle avoidance problem in path planning for multiple robots.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

添加到收藏夹

Article Automation & Control Systems

An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot

Xun Li et al.

JOURNAL OF CONTROL SCIENCE AND ENGINEERING (2020)

添加到收藏夹

A Study on Particle Swarm Algorithm Based on Restart Strategy and Adaptive Dynamic Mechanism

相关参考文献

Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches

Coverage Optimization of Wireless Sensor Networks Using Combinations of PSO and Chaos Optimization

A Hybrid Routing Protocol Based on Naive Bayes and Improved Particle Swarm Optimization Algorithms

An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve

Particle Swarm Optimization Combined with Inertia-Free Velocity and Direction Search

Multi-robot path planning in wireless sensor networks based on jump mechanism PSO and safety gap obstacle avoidance

An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot

导出引文

分享论文