Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
[HTML][HTML] Differential evolution and its applications in image processing problems: a comprehensive review
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis
Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …
maximizing its overlap with the actual contour of an object of interest within an image. Such …
Developments and Design of Differential Evolution Algorithm for Non-linear/Non-convex Engineering Optimization
Nowadays, the differential evolution (DE) achieved noticeable progress and solved a wide
range of non-linear/non-convex engineering optimization issues. As a strong optimizer, DE …
range of non-linear/non-convex engineering optimization issues. As a strong optimizer, DE …
Biomedical image segmentation using geometric deformable models and metaheuristics
P Mesejo, A Valsecchi, L Marrakchi-Kacem… - … Medical Imaging and …, 2015 - Elsevier
This paper describes a hybrid level set approach for medical image segmentation. This new
geometric deformable model combines region-and edge-based information with the prior …
geometric deformable model combines region-and edge-based information with the prior …
[图书][B] Metaheuristics and data clustering
In this Chapter, the initial Sects. 2.1–2.4 give detailed analysis on types of metaheuristics
namely Genetic Algorithm, Particle Swarm Optimization, Differential Evolution algorithm and …
namely Genetic Algorithm, Particle Swarm Optimization, Differential Evolution algorithm and …
Artificial neuron–glia networks learning approach based on cooperative coevolution
Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning
approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent …
approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent …
Colour image segmentation with histogram and homogeneity histogram difference using evolutionary algorithms
Due to the complexity of underlying data in a color image, retrieval of specific object features
and relevant information becomes a complex task. Colour images have different color …
and relevant information becomes a complex task. Colour images have different color …
A decennary survey on artificial intelligence methods for image segmentation
B Vinoth Kumar, S Sabareeswaran… - … : Select Proceedings of …, 2020 - Springer
The technique of breaking down an image into categorial regions containing each pixel with
similar attributes is termed as image segmentation (IS). It is the preliminary step of image …
similar attributes is termed as image segmentation (IS). It is the preliminary step of image …
[HTML][HTML] An interactive image segmentation method for the anatomical structures of the main olfactory bulb with micro-level resolution
X Liu, A Li, Y Luo, S Bao, T Jiang, X Li… - Frontiers in …, 2023 - frontiersin.org
The main olfactory bulb is the key element of the olfactory pathway of rodents. To precisely
dissect the neural pathway in the main olfactory bulb (MOB), it is necessary to construct the …
dissect the neural pathway in the main olfactory bulb (MOB), it is necessary to construct the …