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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Detaylı Bibliyografya

Yazar:	Schmitt, Berthold Immanuel
Materyal Türü:	Online
Dil:	İngilizce
Baskı/Yayın Bilgisi:	FAU University Press 2025
Konular:	Laufzeitanalyse Partikel-Schwarm-Optimierung Drifttheorie thema EDItEUR::U Computing and Information Technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
Online Erişim:	ONIX_20250828T094736_9783944057309_19
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