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A Review on Representative Swarm Intelligence Algorithms for …
WEBIt provides an overview of the various swarm intelligence algorithms and their advanced developments, and briefly provides the description of their successful applications in optimization problems of engineering fields.
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WEBOct 21, 2009 · Do [3] Yang Liu and K evin M. Passino, “Swarm Intelligence: Literature Overview,” Dept. of Electrical Engineering, The …
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WEBTLDR. This paper presents a taxonomy of the different ways in which a collection of autonomous robotic agents can be structured, and it is shown that certain swarms provide little or no advantage over having a single robot, while other swarms can obtain better than linear speedup over a single robots. Expand. 189.
WEBOct 1, 2021 · This review tries to review the most representative swarm intelligence algorithms in chronological order by highlighting the functions and strengths from 127 research literatures by providing the description of their successful applications in optimization problems of engineering fields. Expand. View on IEEE. ieeexplore.ieee.org. …
WEBOct 1, 2021 · As a subset of artificial intelligence (AI), swarm intelligence (SI) has been widely used in the literature. SI methods have the capability to obtain computationally-tractable and high-quality solutions while guaranteeing convergence and robustness (Pham et al., 2020b). The main advantages of SI and other nature-inspired algorithms over ...
WEBMar 20, 2024 · Abstract. Swarm Intelligence (SI) is a collective behavior that emerges from interaction between individuals in a group. Typical SI includes fish schooling, ant foraging, bird migration, and so on. A great deal of models have been introduced to characterize the mechanism of SI.
WEBThis paper has reviewed related works that applying swarm intelligence algorithms in data science. The fundamentals and developments of swarm intelligence are briefly summarized. The theoretical applications such as SI based dimensionality reduction, classification, clustering, as well as automated machine learning are also introduced.
WEBOct 2, 2022 · This hybrid approach benefits the majority of research domains. Thus, this chapter will primarily present the ideas, challenges, and recent trends of an integrative approach of swarm intelligence with deep learning, which is currently in high demand for addressing industrial problems. Download chapter PDF.
WEBMar 9, 2017 · Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually gaining prominence, as more and more high complexity problems require solutions which may be...
WEBJan 1, 2015 · Swarm intelligence (SI) is an innovative branch of meta-heuristics derived from imitating the behavioral pattern of natural insects. The distributed control mechanism and simple interactive rules can manage the swarm of insects effectively and efficiently.
Enhanced swarm intelligence optimization: Inspired by cellular ...
WEB@article{Liu2024EnhancedSI, title={Enhanced swarm intelligence optimization: Inspired by cellular coordination in immune systems}, author={Bao Liu and Mei Xu and Lei Gao}, journal={Knowl. Based Syst.}, year={2024}, volume={290}, pages={111557}, url={https://api.semanticscholar.org/CorpusID:268026650} }
Articles | Swarm Intelligence - Springer
WEBApr 16, 2024 · Analysis and control of agreement and disagreement opinion cascades. Swarm Intelligence is the principal peer reviewed publication dedicated to reporting research and new developments in this multidisciplinary field. The ...
Swarm Intelligence: Introduction and Applications | SpringerLink
WEBOverview. Editors: Christian Blum (Dr), Daniel Merkle (Dr) Combines an overview of swarm intelligence with an up-to-date treatment of the advances in the field. Includes supplementary material: sn.pub/extras. Part of the book series: Natural Computing Series (NCS) 37k Accesses. 578 Citations. 5 Altmetric. Search within this book.
WEBthe different studied swarm intelligence-based feature selection methods are evaluated. Keywords: Machine learning, dimensionality reduction, feature selection, evolutionary algorithms, swarm intelligence. 1. Introduction Pattern recognition is one of the most important applications of machine learning in different sciences.
(PDF) Swarm Intelligence: Concepts, Models and Applications
WEBFeb 1, 2012 · Swarm Intelligence (SI) is a relatively new and potentially promising branch of Artificial Intelligence that is used to model the collective intelligent behavior of social swarms in nature.
A review of artificial intelligence applied to path planning in UAV ...
WEBA review of artificial intelligence applied to path planning in UAV swarms. Authors: Alejandro Puente-Castro. , Daniel Rivero. , Alejandro Pazos. , Enrique Fernandez-Blanco. Authors Info & Claims. Neural Computing and Applications Volume 34 Issue 1 Jan 2022 pp 153–170 https://doi.org/10.1007/s00521-021-06569-4.
Swarm Intelligence Algorithms for Feature Selection: A Review
WEBSwarm intelligence (SI) has been proved as a technique which can solve NP-hard (Non-deterministic Polynomial time) computational problems. It is gaining popularity in solving different optimization problems and has been used successfully for FS in some applications.
WEBMar 8, 2021 · Featured Application: In this work, a systematic literature review of SR strategies has been ap-plied to target search problems with environment constraints, to show which are being explored in the fields as well as the current state-of-the-art SR approaches performance which is delivered.
Overview of swarm intelligence | IEEE Conference Publication
WEBNov 4, 2010 · Abstract: This paper gives a broad overview of swarm intelligence in three parts: biological basis, artificial literature and swarm engineering. In biological basis part, the paper gives some operational principles from biological systems by …
Swarm Intelligence - an overview | ScienceDirect Topics
WEBSwarm intelligence is a subfield of artificial intelligence based on the collective behavior of decentralized and self-organized systems comprised of relatively simple agents interacting locally with one another and with the environment, much like the natural swarms actually do ( Blum and Merkle, 2008; Hassanien, 2016; Eberhart et al., 2001 ).
Towards an integrated swarm intelligence framework for
WEBDec 1, 2023 · Towards an integrated swarm intelligence framework for urban mobility:A systematic review and proposed theoretical model. David E. Ruiz de Gauna a. , Luis E. Sánchez b. , Almudena Ruiz-Iniesta a. , Claudia Villalonga c. , Manuel A. Serrano b. Show more. Add to Mendeley. https://doi.org/10.1016/j.jksuci.2023.101836 Get rights and content.
Swarm Intelligence and IoT-Based Smart Cities: A Review
WEBAug 11, 2018 · The intelligence of cities can be modeled as a swarm of digital telecommunication networks (the nerves), ubiquitously embedded intelligence (the brains), sensors and tags (the sensory organs), and software (the …
Electronics | Free Full-Text | Rolling Bearing Residual Useful Life ...
WEB2 hours ago · In the context of predicting the remaining useful life (RUL) of rolling bearings, many models often encounter challenges in identifying the starting point of the degradation stage, and the accuracy of predictions is not high. Accordingly, this paper proposes a technique that utilizes particle swarm optimization (PSO) in combination with the fusing …
A comparative study on swarm intelligence for structure learning …
WEBJun 27, 2016 · TLDR. A systematic comparison of three typical methods based on ant colony optimization, artificial bee colony algorithm, and bacterial foraging optimization and presents the prospects and references for researchers who are engaged in learning BN networks. Expand. View on Springer. Save to Library. Create Alert. Cite. Topics. AI …
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