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Updated: Aug 22, 2025

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
Published on: June 15, 2022
Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
Sanjoy Chakraborty1,2, Apu Kumar Saha3, Absalom E Ezugwu4
1Department of Computer Science and Engineering, Iswar Chandra Vidyasagar College, Belonia, Tripura India.
Abstract:
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. DE has grown steadily since its beginnings due to its ability to solve various issues in academics and industry. Different mutation techniques and parameter choices influence DE's exploration and exploitation capabilities, motivating academics to continue working on DE. This survey aims to depict DE's recent developments concerning parameter adaptations, parameter settings and mutation strategies, hybridizations, and multi-objective variants in the last twelve years. It also summarizes the problems solved in image processing by DE and its variants.
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