August 2020
Intermediate to advanced
362 pages
12h 58m
English
Content preview from Swarm Intelligence Algorithms
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176 Glowworm Swarm Optimization: A Tutorial
gence algorithms aim for). Glowworm swarm optimization (GSO), inspired by
the behavior of glowworms, is a swarm intelligence algorithm introduced by
Kaipa and Ghose in 2005 [1]; it subsequently underwent several experiments,
modifications and changes by the authors and other researchers to evolve into
a stable algorithm that not only served the purpose of computing multiple
optima of a multimodal function, but was also designed in a way that would
make it suitable for implementation in a swarm of mobile robots. This evo-
lution of GSO and its various versions is described in detail in the book by
Kaipa and Ghose [3].
Most swarm intelligence algorithms seek out the global optimum of a mul-
timodal function
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