The drones form a "drone comet" behind the queen, which is a swarm like formation. The drones approach until one is able to mount and explode its semen into the genital orifice of the queen in a rapid fashion lasting only a few seconds. The drone becomes paralyzed, flips backwards, and...
The Bee Swarm Optimization model takes advantage of this process to determine optimal transmission sequences. This technique aims to reduce the load of computing while accelerating the reduction of PAPR to the greatest extent possible in the shortest amount of time. Bees, which stand for sequential...
The parasitic miteVarroa destructoris currently considered to be the most serious threat to Western honey bee (Apis mellifera) colonies1,2,3(Fig.1a,b).Varroa destructorevolved on the Eastern honey bee,Apis cerana, but was introduced to Western honey bees during the first half of the last cent...
Zhao H, Pei Z, Jiang J, Guan R, Wang C, Shi X (2010) A hybrid swarm intelligent method based on genetic algorithm and artificial bee colony. In: Tan Y, Shi YH, Tan KC (ed) Advances in swarm intelligence, pt 1, proceedings, Lecture notes in computer science, vol 6145, pp 558–5...
Feng, Y.; Liu, Y.; Tong, X.; Liu, M.; Deng, S. Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landsc. Urban Plan. 2011, 102, 188–196. [Google Scholar] [CrossRef] Clarke, K.C.; Gaydos, L.J. Loose-coupling a cellular automaton model...
The particle swarm optimization (PSO) proposed in [7] is an intelligent algorithm, commonly used in recent years. To improve the tracking accuracy, it needs to use a large number of particle swarms, thereby making a longer time for the global tracking; on the other hand, it may get lost...
docker.swarmLeave(options) - Docker API Endpoint docker.swarmUpdate(options) - Docker API Endpoint docker.swarmInspect() - Docker API Endpoint docker.pull(repoTag, options, callback, auth) - Like Docker's CLI pull docker.run(image, cmd, stream, createOptions, startOptions) - Like Docker's...
(1) to initialize the swarm, where i ∈ {1, 2, ···, N } denotes the index of ith nectar source, j ∈ {1, 2, ···, D} is the jth decision variable, and r is a random number within [0,1]. x max j and x min j indicate the lower and the upper bounds of the jth...
Zong, X.; Xiong, S.; Fang, Z.; Li, Q. Multi-Objective Optimization for Massive Pedestrian Evacuation Using Ant Colony Algorithm. In Advances in Swarm Intelligence; Tan, Y., Shi, Y., Tan, K.C., Eds.; Springer: Berlin/Heidelberg, Germany, 2010; Volume 6145, pp. 636–642. ISBN ...
= sin θ 0 0 0 1 v w (13) where q = (x, y, θ)T is the vector of the configuration coordinates; v = (v, w)T is the vector of velocities; τ = (τ1, τ2) is the vector of torques applied to the wheels of the robot, where τ1 and τ2 denote ...