The Geometric Constraint Solving Based on the Quantum Particle Swarm

被引:0
|
作者
Cao Chunhong [1 ]
Wang Limin [2 ]
Li Wenhui [2 ]
机构
[1] Northeastern Univ, Collge Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
来源
关键词
geometric constraint solving; particle swarm optimization; quantum particle swarm optimization; OPTIMIZATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:582 / 587
页数:6
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