Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection

By Jun Sun, Wei Fang, Xiaojun Wu, Vasile Palade, Wenbo Xu. Evolutionary Computation, 2012

355 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/441e3b5d07dc1aee8c01cf338a10fc0494e42ac3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yudong Zhang
2. Quang Phuc Ha
3. Manh Duong Phung
4. Genlin Ji
5. Shuihua Wang
6. Arash Bahrammirzaee

Citations in the corpus

• A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications (2015, methodology): “[194] presented a comprehensive analysis of the QPSO algorithm.”
• Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization (2021, methodology): “QPSO assumes particles have a quantum state described by a wavefunction ψ ( x, t ) and is attracted by a Delta potential well [41].”