Abstract
Geometric constraint problem is equivalent to the problem of solving a set of nonlinear equations substantially. The constraint problem can be transformed to an optimization problem. We can solve the problem with quantum particle swarm. The PSO is driven by the simulation of a social psychological metaphor motivated by collective behaviors of bird and other social organisms instead of the survival of the fittest individual. Inspired by the classical PSO method and quantum mechanics theories, this work presents a novel Quantum-behaved PSO (QPSO). The experiment shows that it can improve the algorithmic efficiency.
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Chunhong, C., Limin, W., Wenhui, L. (2010). The Geometric Constraint Solving Based on the Quantum Particle Swarm. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds) Rough Set and Knowledge Technology. RSKT 2010. Lecture Notes in Computer Science(), vol 6401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16248-0_79
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DOI: https://doi.org/10.1007/978-3-642-16248-0_79
Publisher Name: Springer, Berlin, Heidelberg
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