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Titlebook: Metaheuristics and Optimization in Civil Engineering; Xin-She Yang,Gebrail Bekda?,Sinan Melih Nigdeli Book 2016 Springer International Pub

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發(fā)表于 2025-3-21 19:17:42 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Metaheuristics and Optimization in Civil Engineering
編輯Xin-She Yang,Gebrail Bekda?,Sinan Melih Nigdeli
視頻videohttp://file.papertrans.cn/632/631362/631362.mp4
概述Offers a snapshot of cutting-edge research in optimization and metaheuristics for civil engineering applications.Provides readers with a concise yet complete description of key algorithms.Describes pr
叢書名稱Modeling and Optimization in Science and Technologies
圖書封面Titlebook: Metaheuristics and Optimization in Civil Engineering; Xin-She Yang,Gebrail Bekda?,Sinan Melih Nigdeli Book 2016 Springer International Pub
描述This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced en
出版日期Book 2016
關鍵詞Meta-Heuristic Search Methods; Hybrid Metaheuristic Algorithms; Nature-Inspired Algorithms; Structural
版次1
doihttps://doi.org/10.1007/978-3-319-26245-1
isbn_softcover978-3-319-79914-8
isbn_ebook978-3-319-26245-1Series ISSN 2196-7326 Series E-ISSN 2196-7334
issn_series 2196-7326
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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發(fā)表于 2025-3-21 23:20:17 | 只看該作者
Application of the Simulated Annealing Algorithm for Transport Infrastructure Planning,the configurations. Metaheuristics can be of assistance when solving such real-world problems. This chapter presents an application of the simulated annealing algorithm to solve an integrated approach to high-speed rail planning. The algorithm capabilities in addressing the intricacies imposed by large and complex problems are discussed.
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Performance-Based Optimum Seismic Design of Steel Dual Braced Frames by Bat Algorithm,hose of obtained by other popular meta-heuristics such as firefly algorithm (FA) and particle swarm optimization (PSO) to provide an insight about its computational performance. Two numerical examples are presented and the numerical results reveal that the BA outperforms PSO and FA.
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發(fā)表于 2025-3-22 15:25:18 | 只看該作者
Hybrid Meta-heuristic Application in the Asphalt Pavement Management System,r of SIUs, and others. Based on the results of the computational experiments, one of the proposed heuristic procedures is used for solving problems in the arrangement of surveyed asphalt pavement inspection units. The study reveals that the hybrid model outperforms both the PSO and the GA based models.
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發(fā)表于 2025-3-22 19:52:40 | 只看該作者
Reactive Power Optimization in Wind Power Plants Using Cuckoo Search Algorithm, fruit flies. The effectiveness and feasibility of CSA have been tested on a 41-bus WPP test system and the obtained results that have been compared with particle swarm optimization (PSO). Simulation results yield that the CSA converges to better optimal solutions faster than PSO.
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發(fā)表于 2025-3-23 00:04:33 | 只看該作者
A Hybrid Bat Algorithm with Path Relinking for the Capacitated Vehicle Routing Problem,the effectiveness of our approach and its efficiency and compare with other existing methodologies, several classical CVRP instances from three classes of CVRP benchmarks are selected to test. Experimental results and comparisons show the HBA-PR is effective for solving CVRPs.
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