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
A competent three-tier fuzzy cluster algorithm for enhanced data transmission in cluster EAACK MANETs
Soft Computing - Tập 22 - Trang 6545-6565 - 2017
J. Sathiamoorthy, B. Ramakrishnan
Security is a major issue that is being constantly addressed in infrastructure less networks. An ad hoc network like MANET faces several issues that can jeopardize the transmissions in the network. A MANET can be made manageable by clustering it and appointing a cluster head. The cluster head communicates with the other cluster heads through base station. The cluster head routes all traffic from i... 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
Enhanced beetle antennae search algorithm for complex and unbiased optimization
Soft Computing - Tập 26 - Trang 10331-10369 - 2022
Qian Qian, Yi Deng, Hui Sun, Jiawen Pan, Jibin Yin, Yong Feng, Yunfa Fu, Yingna Li
Beetle Antennae Search algorithm is a kind of intelligent optimization algorithms, which has the advantages of few parameters and simplicity. However, due to its inherent limitations, BAS has poor performance in complex optimization problems. The existing improvements of BAS are mainly based on the utilization of multiple beetles or combining BAS with other algorithms. The present study improves B... 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
Smart city urban planning using an evolutionary deep learning model
Soft Computing - Tập 28 - Trang 447-459 - 2023
Mansoor Alghamdi
Following the evolution of big data collection, storage, and manipulation techniques, deep learning has drawn the attention of numerous recent studies proposing solutions for smart cities. These solutions were focusing especially on energy consumption, pollution levels, public services, and traffic management issues. Predicting urban evolution and planning is another recent concern for smart citie... 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
Fitness distance analysis for parallel genetic algorithm in the test task scheduling problem
Soft Computing - Tập 18 - Trang 2385-2396 - 2013
Hui Lu, Jing Liu, Ruiyao Niu, Zheng Zhu
The test task scheduling problem (TTSP) has attracted increasing attention due to the wide range of automatic test systems applications, despite the fact that it is an NP-complete problem. The main feature of TTSP is the close interactions between task sequence and the scheme choice. Based on this point, the parallel implantation of genetic algorithm, called Parallel Genetic Algorithm (PGA), is pr... hiện toàn bộ
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
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