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Titlebook: Applications of Flower Pollination Algorithm and its Variants; Nilanjan Dey Book 2021 The Editor(s) (if applicable) and The Author(s), und

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發(fā)表于 2025-3-21 18:24:01 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applications of Flower Pollination Algorithm and its Variants
影響因子2023Nilanjan Dey
視頻videohttp://file.papertrans.cn/160/159432/159432.mp4
發(fā)行地址Highlights the essential concepts of traditional Flower Pollination Algorithm and its recent variants.Provides optimal solution for a variety of real-world engineering and medical problems.Serves as a
學科分類Springer Tracts in Nature-Inspired Computing
圖書封面Titlebook: Applications of Flower Pollination Algorithm and its Variants; Nilanjan Dey Book 2021 The Editor(s) (if applicable) and The Author(s), und
影響因子This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are extensively implemented to solve a variety of real-world optimization problems due to its adaptability and robustness. FPA is one of the most successful swarm intelligence procedures developed in 2012 and extensively used in various optimization tasks for more than a decade. The mathematical model of FPA is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, FPA has attracted attention of researchers, who are working to find the optimal solutions in variety of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization, and linear/nonlinear optimization problems. Along with the traditional bat algorithm, the enhanced versions of FPA are also considered to solve a variety of optimization problems in science, engineering, and medical applications.
Pindex Book 2021
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978-981-33-6106-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Acquired Auditory Processing Disorderslems in the field of science and engineering. This is attributed to its efficiency and simplicity in finding for either the global optima or near-global optima of various optimization design problems. The researchers are applying the optimization theory by formulating optimization algorithms that ar
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Gadi Fishman M.D.,Oshri Wasserzug M.D.t parts or scene of any object in a video frame, video registration is used. This is done according to the fixed reference frame of the same video scene. Demons algorithm can be defined as an image registration technique which is based on the concept of efficient local transformation model. In this
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Abnormal Ureteric Peristalsis in Stone Ratsonstruction. Even better savings are possible when they are constructed in earthquake-prone regions. In this study, an improved flower pollination algorithm (IFPA) is used to optimize the design of the reinforced concrete cantilever retaining wall subjected to dynamic loadings. The mathematical mode
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Aberrant Drug-Related Behaviorsime-consuming. The nature-inspired multi-objective algorithms (MOAs) are the best choice to deal with such design problems. This chapter presents a comparative study of the multi-objective flower pollination algorithm (MOFPA) and its hybrid variants to produce the optimal Golomb ruler (OGR) sequence
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