Convergence Analysis for Particle Swarm Optimization

Particle swarm optimization (PSO) is a very popular, randomized, nature-inspired meta-heuristic for solving continuous black box optimization problems. The main idea is to mimic the behavior of natural swarms like, e. g., bird flocks and fish swarms that find pleasant regions by sharing information....

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Bibliographic Details

Main Author:	Schmitt, Berthold Immanuel
Format:	Online
Language:	English
Published:	FAU University Press 2025
Subjects:	Laufzeitanalyse Partikel-Schwarm-Optimierung Drifttheorie thema EDItEUR::U Computing and Information Technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
Online Access:	ONIX_20250828T094736_9783944057309_19
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