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Titlebook: Applied Optimization and Swarm Intelligence; Eneko Osaba,Xin-She Yang Book 2021 The Editor(s) (if applicable) and The Author(s), under exc

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發(fā)表于 2025-3-21 18:29:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Applied Optimization and Swarm Intelligence
影響因子2023Eneko Osaba,Xin-She Yang
視頻videohttp://file.papertrans.cn/161/160009/160009.mp4
發(fā)行地址Includes prominent theories and recent developments of swarm intelligence methods.Presents nature-inspired methods for efficient optimization and problem solving.Serves as a reference resource for res
學(xué)科分類(lèi)Springer Tracts in Nature-Inspired Computing
圖書(shū)封面Titlebook: Applied Optimization and Swarm Intelligence; Eneko Osaba,Xin-She Yang Book 2021 The Editor(s) (if applicable) and The Author(s), under exc
影響因子This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence..
Pindex Book 2021
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書(shū)目名稱(chēng)Applied Optimization and Swarm Intelligence影響因子(影響力)




書(shū)目名稱(chēng)Applied Optimization and Swarm Intelligence影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Applied Optimization and Swarm Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Applied Optimization and Swarm Intelligence被引頻次




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Heike Eschenbeck,Rhea-Katharina Knauf in data centers, load schedule in smart grids to energy consumption forecasting, and guiding investor’s decision and trade. This chapter provides a review of some existing swarm intelligence algorithms applied for solving time series forecasting problems by training and optimizing their corresponde
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Theorien der Entwicklungspsychologieportional-Integral (PI)-fuzzy controllers as tracking controllers for nonholonomic wheeled mobile robots in static environments. Two optimization problems are solved by NIOAs and included first in an off-line path planning approach that generates the reference trajectory and next a cost-effective PI
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Diagnose des Entwicklungsstandeshnical and structural with FHWA-IF-99-015, is investigated by utilizing a particle swarm optimization. Some parametric analyses considering various design cases have been conducted to examine alternation of the dimensions of the sheet wall design in the cohesionless soil. Different values of the dep
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