Optimal Performance and Application for Seagull Optimization Algorithm Using a Hybrid Strategy [PDF]
Entropy, 2022 This paper aims to present a novel hybrid algorithm named SPSOA to address problems of low search capability and easy to fall into local optimization of seagull optimization algorithm.
Qingyu Xia +5 more
doaj +7 more sources
An Energy-Saving and Efficient Deployment Strategy for Heterogeneous Wireless Sensor Networks Based on Improved Seagull Optimization Algorithm [PDF]
Biomimetics, 2023 The Internet of Things technology provides convenience for data acquisition in environmental monitoring and environmental protection and can also avoid invasive damage caused by traditional data acquisition methods.
Li Cao +4 more
doaj +3 more sources
MOSOA: A new multi-objective seagull optimization algorithm [PDF]
Expert Systems With Applications, 2021 Abstract This study introduces the extension of currently developed Seagull Optimization Algorithm (SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull Optimization Algorithm (MOSOA). In this algorithm, a concept of dynamic archive is introduced, which has the feature to cache the non-dominated Pareto optimal ...
Gaurav Dhiman +2 more
exaly +5 more sources
Multi-strategy Improved Seagull Optimization Algorithm
International Journal of Computational Intelligence Systems, 2023 Aiming at the shortcomings of seagull optimization algorithm in the process of searching for optimization, such as slow convergence speed, low precision, easy falling into local optimal, and performance dependent on the selection of parameters, this ...
Yancang Li +4 more
doaj +3 more sources
Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy [PDF]
Energy Reports, 2021 Power supply is a key issue for decision-makers. The reservoir operation of multi-reservoir systems is an important aspect to consider in efforts to increase power generation.
Mohammad Ehteram +7 more
doaj +4 more sources
A New Hybrid Seagull Optimization Algorithm for Feature Selection [PDF]
IEEE Access, 2019 Hybrid algorithms have attracted more and more attention in the field of optimization algorithms. In this paper, three hybrid algorithms are proposed to solve feature selection problems based on seagull optimization algorithm (SOA) and thermal exchange ...
Heming Jia, Zhikai Xing, Wenlong Song
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Collision-Aware Routing Using Multi-Objective Seagull Optimization Algorithm for WSN-Based IoT [PDF]
Sensors, 2021 In recent trends, wireless sensor networks (WSNs) have become popular because of their cost, simple structure, reliability, and developments in the communication field.
Preetha Jagannathan +4 more
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A Multi-Strategy Improved Seagull Optimization Algorithm for Global Optimization and Artistic Image Segmentation [PDF]
BiomimeticsMultilevel threshold image segmentation is a key task in image processing, yet it faces challenges such as low search efficiency in high-dimensional spaces, difficulty in balancing segmentation accuracy and stability, and insufficient adaptability to ...
Yangyang Jiang
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Shared seagull optimization algorithm with mutation operators for global optimization [PDF]
AIP Advances, 2021 Seagull optimization algorithm (SOA) has the disadvantages of low convergence accuracy, weak population diversity, and tendency to fall into local optimum, especially for high dimensional and multimodal problems. To overcome these shortcomings, initially,
Bing Ma +4 more
doaj +2 more sources
IEEE Access, 2022 The traditional seagull optimization algorithm cannot handle multi-objective optimization problems, so a multi-objective quantum-inspired seagull optimization algorithm based on decomposition (MOQSOA/D) is proposed.
Peng Wang, Zhiliang Deng
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