Results 281 to 290 of about 248,257 (327)

IoD swarms collision avoidance via improved particle swarm optimization

Transportation Research Part A: Policy and Practice, 2020
Abstract Drones flights have been investigated widely. In the presence of high density and complex missions, collision avoidance among swarm of drones and with environment obstacles becomes a challenging task and indispensable. This paper aims to enhance the optimality and rapidity of three dimensional IoD path generation by improving the particle ...
Gamil Ahmed, Tarek Sheltami, Ashraf Mahmoud, Ansar Yasar   +3 more
openaire   +1 more source

A hybrid of firefly and improved particle swarm optimization algorithms for load balancing in cloud environments: Performance evaluation

Comput. Networks, 2019
Cloud environments have been defined in order to provide the effective services and have different advantages but there are encounters some challenges such as load balancing.
Mahya Mohammadi Golchi, Shideh Saraeian, Mehrnoosh Heydari   +2 more
semanticscholar   +1 more source

Sub-Synchronous Resonance Damping Control for Series-Compensated DFIG-Based Wind Farm With Improved Particle Swarm Optimization Algorithm

IEEE transactions on energy conversion, 2019
In this paper, we propose an improved sub-synchronous resonance (SSR) damping controller (SSRDC) and a related control strategy to mitigate the SSR in a capacitive series-compensated double-fed induction generator based wind farms, based on the damping ...
Jun Yao, Xuewei Wang, Jiawei Li, Ruikuo Liu, Hailin Zhang   +4 more
semanticscholar   +1 more source

Improving Multiobjective Particle Swarm Optimization Method

2018
An improved multiobjective particle swarm optimization algorithm is developed to get and compare Pareto fronts for constrained and unconstrained optimization test problems, with two objective functions and with a variable number of decision variables, available in literature.
Intisar K. Saleh, Ufuk Özkaya, Qais F. Hasan   +2 more
openaire   +1 more source

The improvement of particle swarm optimization

2016 3rd International Conference on Systems and Informatics (ICSAI), 2016
Basic particle swarm optimization (PSO) has disadvantages about premature convergence. In order to solve these problems, this paper proposed an improved particle swarm optimization called DPSO. The velocity formula in basic PSO was divided into two parts and the two learning factors were improved.
Zekun Zhou, Bin Jiao
openaire   +1 more source

Improved Hierarchical Structure Poly-particle particle Swarm Optimization

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012
In this paper, the Improved Hierarchical Structure Poly-particle Swarm Optimization (IHSPPSO) algorithm is proposed based on the Hierarchical Structure Poly-particle Swarm Optimization (HSPPSO) algorithm with the addition of three new operators, namely the Particle Repair Operator, Dynamic Acceleration Control Operator and Cauchy mutation operator to ...
null Chong Kok Hen, null Johnny Koh Siaw Paw, null Yong Sue Ann, null Koo Wai Yan   +3 more
openaire   +1 more source

An improved particle swarm optimization algorithm for task scheduling in cloud computing

Journal of Ambient Intelligence and Humanized Computing, 2023
Poria Pirozmand, Hoda Jalalinejad, A. R. Hosseinabadi, S. Mirkamali, Yingqiu Li   +4 more
semanticscholar   +1 more source

An improved Particle Swarm Optimization Particle Filtering algorithm

2013 International Conference on Communications, Circuits and Systems (ICCCAS), 2013
To solve the problem in Particle Swarm Optimization Particle Filtering algorithm that it can be premature too easy to fall into local minima search results, this paper proposes the Particle Swarm Optimization based Fission Bootstrap Particle Filter algorithm.
Fengrui Zhang, Jianshu Cao, Zhenhui Xu
openaire   +1 more source

Optimal PMU Placement by improved particle swarm optimization

2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 2013
This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for optimal phasor measurement unit (PMU) placement in a power network for complete system observability. Various effective improvements have been proposed to enhance the efficiency and convergence rate of conventional particle swarm optimization method.
Zakir Hussain Rather, Chengxi Liu, Zhe Chen, Paul Thogersen   +3 more
openaire   +3 more sources

An improved particle swarm optimization for global optimization

2016 Chinese Control and Decision Conference (CCDC), 2016
This paper introduces an improved particle swarm optimization algorithm for continuous global optimization problems. Different from the traditional PSO, the proposed PSO adjusts dynamically the update modes of particles in terms of the population density where a new method based on the center of the particles is defined to measure the population ...
Ping Yan, Ming-Hai Jiao
openaire   +1 more source