Swarm Intelligence in Optimization

By Christian Blum, Xiaodong Li. Swarm Intelligence, 2008

421 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Swarm Intelligence Algorithms for Feature Selection: A Review (2018, background): “Feature Selection (FS) is tackled more and more with Swarm Intelligence (SI) algorithms [4,5], because SI has been proved as a technique which can solve NP-hard computational problems [6] and ﬁnding an optimal feature subset is certainly this kind of a problem.”
Swarm Robotic Behaviors and Current Applications (2020, background): “Blum and Li (2008), Binitha and Sathya (2012), and Krause et al. (2013) address swarm intelligence algorithms for optimization.”
Moth–flame optimization algorithm: variants and applications (2019, background): “The main advantages of these methods are their ﬂexibility and robustness [22].”
A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection (2019, neutral): “[115]”
A Comprehensive Review of Coverage Path Planning in Robotics Using Classical and Heuristic Algorithms (2021, methodology): “intelligence algorithms have been used to solve global and non-linear optimization problems in the real world due to the advantage of flexible ability and high efficiency [211].”
A comprehensive review of firefly algorithms (2013, background): “Swarm Intelligence (SI) belongs to an artificial intelligence discipline (AI) that became increasingly popular over the last decade [1].”