Quantum-Behaved Particle Swarm Optimization with Weighted Mean Personal Best Position and Adaptive Local Attractor
Motivated by concepts in quantum mechanics and particle swarm optimization (PSO), quantum-behaved particle swarm optimization (QPSO) was proposed as a variant of PSO with better global search ability. In this paper, a QPSO with weighted mean personal best position and adaptive local attractor (ALA-Q...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Information |
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| Online Access: | http://www.mdpi.com/2078-2489/10/1/22 |