Particle Swarm Optimization. 01. Initialize size of the particle swarm n, and other parameters 02. Initialize positions and velocities for all particles randomly 03. While (end criterion is not met) do 04. Increment iteration counter 05. Calculate fitness value of each particle 06. Update new ...
Keywords: evacuation planning; multi-objective artificial bee colony; spatial optimization; swarm intelligence; geographic information system (GIS) 1. Introduction The increase in the frequency of natural disasters such as earthquakes, landslides, and floods is becoming a critical problem globally due to...
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...
[6], and particle swarm optimization (PSO) [7], etc. The ACO algorithm is a probabilistic algorithm for optimizing routes, and its update formula is exponential as stated in reference [8], thereby making its path length and pheromone concentration as random values. Such random path length ...