WebJan 29, 2013 · It looks like your implementation iterates through every agent for each iteration when searching for neighbors. If the search space is dimension 2 or greater, with a reasonable number of agents (hundreds or more) you could get a good speedup by using a spatial index, like an R-Tree to do the neighbor searches. WebSharma P, Nair VG. Tuning of PID controller using glowworm swarm optimisation on a …
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WebSharma P, Nair VG. Tuning of PID controller using glowworm swarm optimisation on a satellite attitude control reaction wheel. International Journal of Recent Technology and Engineering. 2024 Jul 1;8(2):4205-4210. doi: 10.35940/ijrte.B3404.078219 WebThe proposed approach focuses on enhancing the efficiency of adaptive neuro-fuzzy inference system (ANFIS) using a modified glowworm swarm optimization algorithm (M-GSO). This algorithm is a global optimization wrapper approach that simulates the collective behavior of glowworms in nature during food search. o7 thicket\u0027s
Improved Glowworm Swarm Optimization Algorithm Based on a …
WebNov 19, 2012 · This video demonstrates the working of Glowworm swarm optimization (GSO), a swarm intelligence based algorithm introduced by Krishnanand and Ghose in 2005 fo... WebMar 15, 2016 · The Glowworm Swarm Optimization (GSO) algorithm is a relatively new … WebABSTRACT. This book chapter focuses on the Glowworm Swarm Optimization (GSO) algorithm, a swarm intelligence algorithm loosely based on the behavior of glowworms, which are also known as fireflies or lightning bugs. Although there are other swarm intelligence algorithms in the literature based on certain perceived behaviour of fireflies … mahindra 4 wheel drive vehicles