Swarm Intelligence: Today and Tomorrow
Yang X.-S.4; Fong S.2; He X.3; Deb S.1; Zhao Y.5
Source PublicationProceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016
AbstractSwarm intelligence (SI) and SI-based algorithms have become popular and useful in almost all areas of sciences and engineering. Significant developments have been made in recent years. This paper provides a short but timely analysis about SI algorithms and their links with self-organization. Emphasis has been on the present developments by analyzing the main characteristics and properties of algorithms, while future directions are pointed out by highlighting key challenges and their implications.
KeywordAlgorithm bat algorithm complex systems cuckoo search firefly algorithml metaheuristic nature-inspired optimization PSO self-organization swarm intelligence
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.IT & Educational Consultant
2.Universidade de Macau
3.Xi'an Polytechnic University
4.Middlesex University
5.Harbin Engineering University
Recommended Citation
GB/T 7714
Yang X.-S.,Fong S.,He X.,et al. Swarm Intelligence: Today and Tomorrow[C],2017:219-223.
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