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Titlebook: Swarm, Evolutionary, and Memetic Computing; Second International Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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Self-adaptive Cluster-Based Differential Evolution with an External Archive for Dynamic Optimizatior is updated adaptively throughout the optimization process. To detect the environment change a test particle is used. Moreover, to adapt the population in new environment an External Archive is also used. The performance of SACDEEA is evaluated on GDBG benchmark problems and compared with other existing algorithms.
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Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement,ential evolution employing the binomial crossover have been used in the proposed work which and have been tested over both standard images and medical images. Our extensive experimental studies produce encouraging results.
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A Differential Evolution Based Approach for Multilevel Image Segmentation Using Minimum Cross Entro image segmentation. Results are also compared with modern state-of-art algorithms like Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Further Mean Structural Similarity Index Measurement (SSIM) and Universal Image Quality Index (UIQI) are also being used for performance evaluation.
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Tuning of Power System Stabilizer Employing Differential Evolution Optimization Algorithm,m is improved. The non-linear simulation results are presented under wide range of operating conditions; disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.
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