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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| Format: | Online |
| Language: | English |
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FAU University Press
2025
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| Online Access: | ONIX_20250828T094736_9783944057309_19 |
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