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- Q5572271 subject Q7153685.
- Q5572271 abstract "The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used for this algorithm is the apparent capability of the glowworms to change the intensity of the luciferin emission and thus appear to glow at different intensities. 1.The GSO algorithm makes the agents glow at intensities approximately proportional to the function value being optimized. It is assumed that glowworms of brighter intensities attract glowworms that have lower intensity. 2.The second significant part of the algorithm incorporates a dynamic decision range by which the effect of distant glowworms are discounted when a glowworm has sufficient number of neighbours or the range goes beyond the range of perception of the glowworms. The part 2 of the algorithm makes it different from Firefly algorithm(FA). In the Firefly algorithm, fireflies can automatically subdivide into subgroups and thus can find multiple global solutions simultaneously, and thus FA is very suitable for multimodal problems. However, in GSO, there is no "sufficient number or neighbours" limit and there is no perception limit based on distance, but it can have still have "cognitive limits" which allows swarms of glowworms to split into sub-groups and converge to high function value points. This property of the algorithm allows it to be used to identify multiple peaks of a multi-modal function and makes it part of Evolutionary multi-modal optimization algorithms family.The GSO algorithm was developed and introduced by K.N. Krishnanand and Debasish Ghose in 2005 at the Guidance, Control, and Decision Systems Laboratory in the Department of Aerospace Engineering at the Indian Institute of Science, Bangalore, India. Subsequently, it has been used in various applications and several papers have appeared in the literature using the GSO algorithm.".
- Q5572271 wikiPageExternalLink abs_all.jsp?arnumber=1501606&tag=1.
- Q5572271 wikiPageExternalLink 5derfrq1m1w0jncd.
- Q5572271 wikiPageExternalLink 10.1007%2Fs11721-008-0021-5.
- Q5572271 wikiPageExternalLink S0921889007001686.
- Q5572271 wikiPageExternalLink glowworm.
- Q5572271 wikiPageWikiLink Q1355.
- Q5572271 wikiPageWikiLink Q1385229.
- Q5572271 wikiPageWikiLink Q141495.
- Q5572271 wikiPageWikiLink Q14915018.
- Q5572271 wikiPageWikiLink Q22277536.
- Q5572271 wikiPageWikiLink Q3248829.
- Q5572271 wikiPageWikiLink Q5418713.
- Q5572271 wikiPageWikiLink Q5451844.
- Q5572271 wikiPageWikiLink Q668.
- Q5572271 wikiPageWikiLink Q7153685.
- Q5572271 wikiPageWikiLink Q8366.
- Q5572271 wikiPageWikiLink Q863960.
- Q5572271 wikiPageWikiLink Q948720.
- Q5572271 comment "The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used for this algorithm is the apparent capability of the glowworms to change the intensity of the luciferin emission and thus appear to glow at different intensities.".
- Q5572271 label "Glowworm swarm optimization".