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派博传思国际中心 »期刊书目

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Titlebook: Harmony Search Algorithm; Proceedings of the 3 Javier Del Ser Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Evolution

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发表于 2025-3-21 17:41:37 | 显示全部楼层 |阅读模式
书目名称Harmony Search Algorithm
副标题Proceedings of the 3
编辑Javier Del Ser
视频videohttp://file.papertrans.cn/425/424332/424332.mp4
概述Offers a up-to-date reference for the research community working on Harmony Search.Presents views from worldwide experts on evolution- and nature-inspired heuristics.Describes novel applications of Ha
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Harmony Search Algorithm; Proceedings of the 3 Javier Del Ser Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Evolution
描述.This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation & mobility and health, among many others and focus not only on its cross-domain applicability, but also on its core evolutionary operators, including elements inspired from other meta-heuristics.           .The global scientific community is witnessing an upsurge in groundbreaking, new advances in all areas of computational intelligence, with a particular flurry of research focusing on evolutionary computation and bio-inspired optimization. Observed processes in nature and sociology have provided the basis for innovative algorithmic developments aimed at leveraging the inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last deca
出版日期Conference proceedings 2017
关键词Evolutionary Computation; Computational Intelligence; Soft Computing; Meta-heuristic Optimization; Harmo
版次1
doihttps://doi.org/10.1007/978-981-10-3728-3
isbn_softcover978-981-10-3727-6
isbn_ebook978-981-10-3728-3Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2017
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A Novel Grouping Harmony Search Algorithm for Clustering Problems number of clusters by means of the tailored design of the HS operators, which estimates this important structural clustering parameter as an implicit byproduct of the instance-to-cluster mapping performed by the algorithm. Apart from inferring the optimal number of clusters, simulation results veri
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Ari Hong,Donghwi Jung,Jiho Choi,Joong Hoon Kim contributory role of the European Union to promote the participation of ordinary African citizens in the establishment of the AfCFTA. It does so by investigating the extent to which the EU collaborates with civil society in Africa to ensure the engagement of ordinary citizens in the attainment of t
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Ho Min Lee,Do Guen Yoo,Eui Hoon Lee,Young Hwan Choi,Joong Hoon Kimrs. For the determination of the sweet-spot size of collector to use in a particular solar water heating system, at which the energy-per-dollar is calculated, the Net Present Value of Solar Savings was used as the objective function to maximize. Ten (10) different models of liquid solar thermal coll
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Conference proceedings 2017inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last deca
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the path toward the agreed fixed timeline. Due to the diversity and volatility of the SSA environment, each nation must address a unique set of needs while also contending with unforeseeable occurrences that might dramatically change their path to attaining sustainable development by a specific dat
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