Results 11 to 20 of about 654 (182)

Electric Power Load Forecasting Method Based on a Support Vector Machine Optimized by the Improved Seagull Optimization Algorithm

Energies, 2022
Accurate load forecasting is conducive to the formulation of the power generation plan, lays the foundation for the formulation of quotation, and provides the basis for the power management system and distribution management system.
Suqi Zhang, Ningjing Zhang, Ziqi Zhang, Ying Chen   +3 more
doaj   +4 more sources

Multi-Objective Quantum-Inspired Seagull Optimization Algorithm

Electronics (Switzerland), 2022
Objective solutions of multi-objective optimization problems (MOPs) are required to balance convergence and distribution to the Pareto front. This paper proposes a multi-objective quantum-inspired seagull optimization algorithm (MOQSOA) to optimize the convergence and distribution of solutions in multi-objective optimization problems.
Yule Wang, Wanliang Wang, Ijaz Ahmad
exaly   +3 more sources

Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm

Energy Reports, 2019
This study proposes an optimal model to design and simulate the proton exchange membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification of the ...
Yan Cao, Yiqing Li, Geng Zhang, Kittisak Jermsittiparsert, Navid Razmjooy   +4 more
doaj   +4 more sources

Individual Disturbance and Attraction Repulsion Strategy Enhanced Seagull Optimization for Engineering Design

Mathematics, 2022
The seagull optimization algorithm (SOA) is a novel swarm intelligence algorithm proposed in recent years. The algorithm has some defects in the search process.
Helong Yu, Shimeng Qiao, Ali Asghar Heidari, Chunguang Bi, Huiling Chen   +4 more
doaj   +2 more sources

A Multi-Mechanism Seagull Optimization Algorithm Incorporating Generalized Opposition-Based Nonlinear Boundary Processing

Mathematics, 2022
The seagull optimization algorithm (SOA), a well-known illustration of intelligent algorithms, has recently drawn a lot of academic interest. However, it has a variety of issues including slower convergence, poorer search accuracy, the single path for ...
Xinyu Liu, Guangquan Li, Peng Shao
doaj   +2 more sources

Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems

Automatika, 2022
The changing weather conditions and Partial Shading Situation (PSS) create numerous challenges in harvesting available maximum power from the solar Photovoltaic (PV) systems.
Annapoorani Subramanian, Jayaparvathy Raman   +1 more
doaj   +2 more sources

A hybrid swarm intelligent optimization algorithm for antenna design problems [PDF]

Scientific Reports
Meta-heuristic optimization algorithms have seen significant advancements due to their diverse applications in solving complex problems. However, no single algorithm can effectively solve all optimization challenges.
Supreet Singh, Harbinder Singh, Nitin Mittal, Gurpreet Kaur Punj, Lalit Kumar, Kinde Anlay Fante   +5 more
doaj   +2 more sources

Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm [PDF]

Scientific Reports
To enhance the reliability of cable force optimization in large-span cable-stayed bridges, this study presents a force optimization model that considers reliability indicators specific to these types of bridges.
Dan Zhao, Hua Wang, Mengsheng Yu
doaj   +2 more sources

Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm

Energies
To address the high complexity layout optimization problem of an offshore wind and wave energy co-generation system, an improved seagull optimization algorithm-based method is proposed.
Xiaoshi Zhuang, Honglue Wan, Dongran Song, Xinyu Fan, Yuchen Wang, Qian Huang, Jian Yang   +6 more
doaj   +2 more sources

A Deep Reinforcement Learning-Driven Seagull Optimization Algorithm for Solving Multi-UAV Task Allocation Problem in Plateau Ecological Restoration

Drones
The rapid advancement of unmanned aerial vehicle (UAV) technology has enabled the coordinated operation of multi-UAV systems, offering significant applications in agriculture, logistics, environmental monitoring, and disaster relief. In agriculture, UAVs
Lijing Qin, Zhao Zhou, Huan Liu, Zhengang Yan, Yongqiang Dai   +4 more
doaj   +2 more sources