Results 11 to 20 of about 1,991 (196)
Bayesian Network Structure Learning Algorithm Combining Improved Dragonfly Optimization
IEEE Access, 2023 Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning. Although it has great potential and application prospects, when there are too many variables, this type of algorithm will not ...
Dongmei Ji, Zheng Sun
doaj +2 more sources
OPTIMIZING THE PERFORMANCE OF STATE ESTIMATION IN POWER SYSTEMS USING A NOVEL SWARM-INTELLIGENT APPROACH [PDF]
Proceedings on Engineering Sciences, 2023 For power systems to operate reliably and effectively, state estimate is essential. For monitoring and control applications, it offers real-time estimates of the system's state indicators, including voltage levels and orientations. In this paper, a novel
Umesh Kumar Singh +2 more
doaj +1 more source
Positioning algorithm based on improved dragonfly optimization
International Journal of Computer Science and Information Technology, 2023 Aiming at solving the nonlinear equation of indoor arrival time difference positioning, a multi-strategy improved dragonfly optimization algorithm is proposed. The initial population is improved by chaotic mapping, and then nonlinear factors and Cauchy mutation operators are introduced to rapidly converge the balanced global search and local search. At
Yue Zhang, Hongping Pu, Wei Chen
openaire +1 more source
e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023 In this article, a method for reconfiguring the distribution network with the presence of production sources to minimize energy losses is presented. Also, besides the reconfiguration issue, the Super distribution tap transformers and the power factor of ...
Katayun Rahmati, Sina Taherinasab
doaj +1 more source
International Journal of Networked and Distributed Computing (IJNDC), 2017 Nowadays cloud computing is being highly considered by many of researchers, organizations, governments and so on. According to processing happening inside of cloud computing, some of the most important problems and challenges in cloud computing are load ...
Zahra Amini +2 more
doaj +1 more source
Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
Sensors, 2021 Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions.
Bibi Aamirah Shafaa Emambocus +3 more
doaj +1 more source
Self-adaptive dragonfly based optimal thresholding for multilevel segmentation of digital images
Journal of King Saud University: Computer and Information Sciences, 2018 Dragonfly optimization (DFO) is a population based meta-heuristic optimization algorithm that simulates the static and dynamic swarming behaviors of dragonflies.
Rakoth Kandan Sambandam +1 more
doaj +1 more source
Optimasi Ekonomi dan Emisi Pembangkit Listrik di Kalimantan menggunakan Dragonfly Algoritmh
Jurnal Elkomika, 2021 ABSTRAK Kebutuhan listrik di Kalimantan Selatan dan Tengah menjadi semakin bertambah dikarenakan meningkatnya jumlah penduduk dan ekonomi serta mahalnya biaya pembangkitan listrik.
BAYU SETYO WIBOWO +2 more
doaj +1 more source
Detection of intruder using the improved dragonfly optimization algorithm
IOP Conference Series: Materials Science and Engineering, 2021 Abstract Now a days, we are completely dependent on the systems and also on the internet. Most of our valuable information is stored in the system or in the cloud. So, it’s very necessary to protect our data and also our system from the outside intruders and also from the intruders already entered into our system.
Nagaraju Devarakonda +2 more
openaire +1 more source
Energies, 2022 Harmonics worsen the quality of electrical signals, hence, there is a need to eliminate them. The test objects under discussion are single-phase versions of cascaded H-bridge (CHB) multilevel inverters (MLIs) whose switching angles are optimized to ...
Muhammad Ayyaz Tariq +7 more
doaj +1 more source