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Titlebook: Biogeography-Based Optimization: Algorithms and Applications; Yujun Zheng,Xueqin Lu,Shengyong Chen Book 2019 Springer Nature Singapore Pte

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發(fā)表于 2025-3-21 19:27:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Biogeography-Based Optimization: Algorithms and Applications
影響因子2023Yujun Zheng,Xueqin Lu,Shengyong Chen
視頻videohttp://file.papertrans.cn/188/187074/187074.mp4
發(fā)行地址Presents the authors’ latest research on improved variants of BBO and hybridization of BBO with other algorithms, as well as the application of BBO to a variety of domains.Illustrates important mechan
圖書(shū)封面Titlebook: Biogeography-Based Optimization: Algorithms and Applications; Yujun Zheng,Xueqin Lu,Shengyong Chen Book 2019 Springer Nature Singapore Pte
影響因子.This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter..
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沙發(fā)
發(fā)表于 2025-3-21 20:29:14 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:52:51 | 只看該作者
Application of Biogeography-Based Optimization in Transportation,s can be modeled as combinatorial optimization problems. Nowadays, with the development of transportation systems, most of such problems are high-dimensional and/or NP-hard. In recent years, we have adapted BBO algorithm to a variety of transportation problems and achieved good results.
地板
發(fā)表于 2025-3-22 07:38:24 | 只看該作者
Application of Biogeography-Based Optimization in Job Scheduling,his chapter, we adapt BBO to solve a set of scheduling problems including flow-shop scheduling, job-shop scheduling, maintenance job scheduling, and university course timetabling. The experimental results demonstrate the effectiveness and efficiency of BBO for the problems.
5#
發(fā)表于 2025-3-22 09:40:29 | 只看該作者
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發(fā)表于 2025-3-22 15:22:33 | 只看該作者
Biogeography-Based Optimization in Machine Learning,ted by structural design and parameter selection. This chapter introduces how to use BBO and its variants for optimizing structures and parameters of ANNs. The results show that BBO is a powerful method for enhancing the performance of many machine learning models.
7#
發(fā)表于 2025-3-22 17:15:47 | 只看該作者
Kant’s Theory of Natural Scienceulation, which often has a great influence on the performance of the algorithms. This chapter first introduces some typical types of population topologies and then describes the methods for improving BBO with local topologies.
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發(fā)表于 2025-3-23 01:01:05 | 只看該作者
9#
發(fā)表于 2025-3-23 05:21:22 | 只看該作者
,Apperception: B-Deduction § 16,s can be modeled as combinatorial optimization problems. Nowadays, with the development of transportation systems, most of such problems are high-dimensional and/or NP-hard. In recent years, we have adapted BBO algorithm to a variety of transportation problems and achieved good results.
10#
發(fā)表于 2025-3-23 07:24:57 | 只看該作者
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