A survey: Particle swarm optimization based algorithms to solve premature convergence problem

B Nakisa, MZ Ahmad Nazri, MN Rastgoo… - Journal of Computer …, 2014 - eprints.qut.edu.au
Particle Swarm Optimization (PSO) is a biologically inspired computational search and
optimization method based on the social behaviors of birds flocking or fish schooling …

Reactive power optimization in a power system network through metaheuristic algorithms

C Sivalingam, M KUPPAMUTHU… - Turkish Journal of …, 2017 - journals.tubitak.gov.tr
Reactive power optimization (RPO) in a power system is a rudimentary necessity for the
reduction of the loss of power. For the requirement of a unity power factor in the RPO system …

Advancements in quantum-PSO and its application in sustainable development

A Sahoo, P Singh - Applications of Artificial Intelligence, Big Data …, 2022 - taylorfrancis.com
Optimization is an inevitable part of sustainable development. Optimization techniques are
employed to improve sustainability and achieve the goals of sustainable development …

A Real-Time FPGA-Based Metaheuristic Processor to Efficiently Simulate a New Variant of the PSO Algorithm

E Anides, G Salinas, E Pichardo, JG Avalos… - Micromachines, 2023 - mdpi.com
Nowadays, high-performance audio communication devices demand superior audio quality.
To improve the audio quality, several authors have developed acoustic echo cancellers …

[PDF][PDF] Bio-inspired algorithms for color image segmentation

S Nebti - International Journal of Computer Applications, 2013 - researchgate.net
Effective image segmentation remains a challenging process as it constitutes a critical step
to higher level image processing applications such as pattern recognition. In this paper, we …

[引用][C] 基于非支配解的多目标粒子群无功优化

马立新, 王宏宇 - 控制工程, 2014

[引用][C] 非支配解竞争模型下的电力系统无功优化

马立新, 王宏宇 - 信息技术, 2015

[引用][C] Optimal Reactive Power Flow in a Deregulated Power System–A Case Study

T Hariharan, DMG Krishnan - International Journal of Emerging Trends in Electrical …