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Raman Microscopy at the Organic–Inorganic Interfaces in Human Calcified Aortic Valves Shows the Co‐Existence of Whitlockite Crystals and Carbonated Hydroxyapatite‐Mineralized Collagen Fibrils

Advanced Functional Materials, EarlyView.
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden, Carolien T. A Kuster, Amber van Broekhoven, Raphaela Allgayer, Luco Rutten, Rona Roverts, Marta Cerruti, Elena Macías‐Sánchez, Jan Hein Cornel, Salloua el Messaoudi, Anat Akiva, Nico Sommerdijk   +11 more
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A Parallel Differential Evolution Algorithm A Parallel Differential Evolution Algorithm

International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06), 2006
In the paper the problem of using a differential evolution algorithm for feed-forward neural network training is considered. A new parallelization scheme for the computation of the fitness function is proposed. This scheme is based on data decomposition.
W. Kwedlo, K. Bandurski
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Improved differential evolution algorithms

2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE), 2012
Before improving the differential evolution (DE), the premature convergence feature of the differential evolution must be analyzed, which demonstrates that the differential evolution is not able to guarantee the global convergence. In order to improve the searching ability of differential evolution, two modified differential evolution are introduced by
Chengfo Sun, Haiyan Zhou, Liqing Chen
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Improved differential evolution algorithm

2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), 2017
Differential Evolution (DE) is an evolutionary approach to unravel complex optimization problems. The DE is a straight forward and very popular population based stochastic Algorithm. DE outperformed other competitive evolutionary algorithms when measured over benchmark problem as well as actual optimization problems in terms of performance.
Sanjay Jain, Sandeep Kumar, Vivek Kumar Sharma, Harish Sharma   +3 more
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Exploited Differential Evolution Algorithm

2015 International Conference on Computational Intelligence and Communication Networks (CICN), 2015
Evolutionary algorithms are efficient algorithms for solving the most complex optimization problems of the current era. Differential Evolution (DE) is a simple population based evolutionary algorithm under this category. As shown in literature, c omparative to exploration of the search space, DE is less capable of exploiting the existing solutions ...
Aakanksha Bhatnagar, Kavita Sharma, Manoj Singh   +2 more
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A fuzzy adaptive differential evolution algorithm

2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings., 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, J., Lampinen, J.
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Rethinking the differential evolution algorithm

Service Oriented Computing and Applications, 2020
Selection operation plays a significant role in differential evolution algorithm. A new differential evolution algorithm based on an improved selection process is presented in this work. It was studied that there was neither a practical method to maintain the distribution of population nor a correction to the variables out of bounds in mutation process
Hongwei Liu, Xiang Li, Wenyin Gong
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Interval Differential Evolution Algorithm

2020
By introducing the interval model into the existing differential evolution, this chapter proposes a novel interval differential evolution algorithm, which can directly solve the original interval optimization problem rather than transforming it to a deterministic optimization problem first.
Chao Jiang, Xu Han, Huichao Xie
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Chaotic Immune Differential Evolution Algorithm

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2007
A novel chaotic immune differential evolution algorithm (CIDE) is presented. In CIDE, weighted difference is added to the best individual. Using randomness and space ergodicity of chaotic mapping, the best individual is processed by chaotic immune clone operation; In each iteration process, the weighting factor is changed dynamically based on the ...
null Guo Zhenyu, null Bai Zhifeng, null Cao Binggang   +2 more
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THE PARETO DIFFERENTIAL EVOLUTION ALGORITHM

International Journal on Artificial Intelligence Tools, 2002
The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as Vector Optimization Problems (VOPs)) has attracted much attention recently. Being population based approaches, EAs offer a means to find a group of pareto-optimal solutions in a single run.
H. A. ABBASS, R. SARKER
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