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Seagull optimization algorithm for solving real-world design optimization problems

Materialpruefung/Materials Testing, 2020
Abstract In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint.
Natee Panagant   +2 more
exaly   +3 more sources

EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization

International Journal of Machine Learning and Cybernetics, 2020
This study introduces the evolutionary multi-objective version of seagull optimization algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm (EMoSOA). In this algorithm, a dynamic archive concept, grid mechanism, leader selection, and genetic operators are employed with the capability to cache the solutions from the non ...
Gaurav Dhiman   +2 more
exaly   +3 more sources

Oral cancer detection using convolutional neural network optimized by combined seagull optimization algorithm

Biomedical Signal Processing and Control
Early diagnosis of oral cancer is crucial for improving patient outcomes and saving lives. However, inaccurate and improper diagnosis can hinder effective treatment. This paper presents a novel method for detecting oral cancer using an optimized version of Convolutional Neural Network (CNN).
Qirui Huang
exaly   +3 more sources

Seagull-Cuckoo Search Algorithm for Function Optimization

2021 6th International Conference for Convergence in Technology (I2CT), 2021
This paper anticipates to frame a hybrid Seagull Optimization Algorithm - Cuckoo Search (SOA-CS) algorithm for objective function minimization. The migration and attacking strategies of Seagulls are complimented by the social breeding behaviour of cuckoo birds. In addition, the thought of Levy flight walking methodology is also inherited.
Gyanesh Das, Rutuparna Panda
openaire   +1 more source

A hybrid seagull optimization algorithm for chemical descriptors classification

2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2021
Cheminformatics is a field of research that explores the correlation between chemical compound data sets and the metrics used in drug design to evaluate the similarity. Many classical-methods are applie-d in prediction the drug design that aren’t efficient and not effective.
Essam H. Houssein   +2 more
openaire   +1 more source

Support vector machine classifier optimized with seagull optimization algorithm for brain tumor classification

Concurrency and Computation: Practice and Experience, 2022
SummaryMagnetic resonance imaging (MRI) is a practical tool for diagnosing tumors in human brain. In this work, MRI images are analyzed to find tumor‐containing regions and classify these regions into three different types of tumor: meningioma, glioma, and pituitary.
S. Lavanya   +3 more
openaire   +1 more source

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