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Titlebook: Genetic and Evolutionary Computing; Proceedings of the T Jeng-Shyang Pan,Jerry Chun-Wei Lin,Shih-Pang Tseng Conference proceedings 2019 Spr

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发表于 2025-3-21 19:40:12 | 显示全部楼层 |阅读模式
书目名称Genetic and Evolutionary Computing
副标题Proceedings of the T
编辑Jeng-Shyang Pan,Jerry Chun-Wei Lin,Shih-Pang Tseng
视频video
概述Highlights the latest research presented at the 12th International Conference on Genetic and Evolutionary Computing (ICGEC 2018).Provides the swarm intelligence, artificial intelligence, information h
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Genetic and Evolutionary Computing; Proceedings of the T Jeng-Shyang Pan,Jerry Chun-Wei Lin,Shih-Pang Tseng Conference proceedings 2019 Spr
描述.This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 12th International Conference on Genetic and Evolutionary Computing (ICGEC 2018). Held from 14 to 17 December 2018 in Changzhou, Jiangsu, China, the conference was co-sponsored by Springer, Changzhou College of Information Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Tajen University, National University of Kaohsiung, and Shandong University of Science and Technology, China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing..
出版日期Conference proceedings 2019
关键词ICGEC 2018; Information Hiding; Intelligent Computation; Evolutionary Algorithm; Swarm Intelligence; Mult
版次1
doihttps://doi.org/10.1007/978-981-13-5841-8
isbn_softcover978-981-13-5840-1
isbn_ebook978-981-13-5841-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Wolfgang Merkel,Alexander Petringed the . construction algorithm is presented and benchmarks with different configurations are conducted to evaluate the algorithm’ performance. A real world RTES is tested with a . as application and we have reason to believe that . are effective and efficient for testing RTESs under input timing constraints of parallel input factors.
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https://doi.org/10.1007/978-3-658-05849-4cooperation in social dilemmas except the Clustering, and Degree is neither the sole nor the best one. Meanwhile, there is an optimal level of heterogeneity that maximizes the cooperators regardless of the influence of centralities.
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https://doi.org/10.1007/978-3-322-92516-9 consequently help this new DE variant secure an overall better optimization performance. Commonly used benchmark functions are employed here in verifying the overall performance and experiment results show that the new algorithm is competitive with other state-of-the-art DE variants.
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Demokratie nach dem Ende des Kommunismusort-circuit fault, and load sudden increase. The simulation results show that both SVC and STATCOM can improve the voltage stability of wind farm after grid disturbance, and STATCOM has better compensation stability than SVC.
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https://doi.org/10.1007/978-3-322-98475-3ence of the small signal stability when accessing WSCC 3-machine, 9-bus system. The result showed that the wind turbine type, the access distance, and the wind power penetration rate had different degrees of impact on the system.
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A New Advantage Sharing Inspired Particle Swarm Optimization Algorithmng walk mode notices one particle if it should continue to move or not which uses the feedback of the last movement. Two more algorithms are simulated as the comparison methods to test Benchmark function. The experimental results show that our proposed scheme can converge to a better optimum than the comparison algorithms.
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