Soft Computing

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Jellyfish search algorithm-based optimum tuning of PI controller for a front-end converter in a DFIG-based wind energy conversion system
Soft Computing - - Trang 1-16 - 2024
Sheshadri Shekhar Rauth, Debaprasad Kastha, Prabodh Bajpai
This paper proposes a jellyfish search algorithm (JSA)-based offline method to design a DC voltage controller of AC/DC front-end converter (FEC) in a doubly fed induction generator (DFIG)-based wind energy conversion system (WECS). First, a multi-objective tuning problem is formulated using a full-order converter model to achieve maximum utilization of converter parameters in controller design. Ne...... hiện toàn bộ
Scalability of generalized adaptive differential evolution for large-scale continuous optimization
Soft Computing - Tập 15 - Trang 2141-2155 - 2010
Zhenyu Yang, Ke Tang, Xin Yao
Differential evolution (DE) has become a very powerful tool for global continuous optimization problems. Parameter adaptations are the most commonly used techniques to improve its performance. The adoption of these techniques has assisted the success of many adaptive DE variants. However, most studies on these adaptive DEs are limited to some small-scale problems, e.g. with less than 100 decision ...... hiện toàn bộ
Grid-based dynamic robust multi-objective brain storm optimization algorithm
Soft Computing - Tập 24 - Trang 7395-7415 - 2019
Yinan Guo, Huan Yang, Meirong Chen, Dunwei Gong, Shi Cheng
Rich works have been done on brain storm optimization algorithm solving static single- or multi-objective optimization problems, but less reports for dynamic multi-objective optimization problems. Based on this, a grid-based multi-objective brain storming algorithm with hybrid mutation operation is proposed to find the robust Pareto-optimal solution set over time. Grid-based clustering method part...... hiện toàn bộ
Optimized selection of axial pile bearing capacity predictive methods based on multi-criteria decision-making (MCDM) models and database approach
Soft Computing - Tập 26 - Trang 5865-5881 - 2022
Sara Heidarie Golafzani, Abolfazl Eslami, Reza Jamshidi Chenari, Mohsen Hamed Saghaian
As prevalent substructure systems in geotechnical engineering, piles are susceptible to underlying uncertainties and complex interactions to surrounding soils, associated with their geometry, pattern, and the project cost influences. The spatial variability of surrounding soils and diversity of knowledge in pile engineering highlight selecting an appropriate predictive method(s) for design. Variou...... hiện toàn bộ
The epidemiology of multiple pregnancy and perinatal outcome with the aid of machine learning-based forecasting models
Soft Computing -
Lili Qian, Weiwei Wu, Jingyi Jiang, Yamei Wu
A core firework updating information guided dynamic fireworks algorithm for global optimization
Soft Computing - Tập 24 - Trang 1185-1211 - 2019
Haitong Zhao, Changsheng Zhang, Jiaxu Ning
As a new variant of swarm intelligence algorithm, fireworks algorithm (FWA) exhibits promising performance on a wide set of optimization problems, for which the fireworks algorithm has been concentrated on and investigated by researchers recently. This paper aims to improve the performance of the FWA by exploiting updating information of the core firework to guide the algorithm’s searching process...... hiện toàn bộ
Retraction Note: Research on film animation design based on inertial motion capture algorithm
Soft Computing - Tập 27 - Trang 2757-2757 - 2022
Zhen Lin
Panoramic image generation using deep neural networks
Soft Computing - Tập 27 - Trang 8679-8695 - 2023
Izat Khamiyev, Dias Issa, Zahid Akhtar, M. Fatih Demirci
A traditional approach for panoramic image generation consists of a random sample consensus (RANSAC) algorithm on a set of scale-invariant feature transform (SIFT) correspondences to generate a homography matrix between two images. Although producing adequate results for some type of images, hand-crafted SIFT features are not robust enough for highly varying natural images and the iterative RANSAC...... hiện toàn bộ
Multispectral remote sensing image segmentation using rival penalized controlled competitive learning and fuzzy entropy
Soft Computing - Tập 20 - Trang 4709-4722 - 2015
Huan Xie, Xin Luo, Chao Wang, Shijie Liu, Xiong Xu, Xiaohua Tong
This paper proposes an image segmentation approach for multispectral remote sensing imagery based on rival penalized controlled competitive learning (RPCCL) and fuzzy entropy. In this approach, the clustering center component for each band of the image is first chosen based on the fuzzy entropy histogram of the corresponding band of the image. The initial clustering centers are then formed by comb...... hiện toàn bộ
Preface of the Guest Editor
Soft Computing - - 2004
Vesa A. Niskanen
Tổng số: 6,381   
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