A New Method for Constrained Optimization Problems to Produce Initial Values

作者：Sun Chao li^*; Zeng Jian chao; Pan Jeng shyang

来源：21st Chinese Control and Decision Conference, 2009-06-17 to 2009-06-19.

• constrained optimization
• stochastic numbers
• particle swarm optimization

To solve the hard problem that it is difficult to produce initial values satisfied with the constrained conditions in constrained optimization problems, according to the good ability of particle swarm optimization in finding good values, the paper presents a new method for producing stochastic values satisfied with constrained conditions using particle swarm optimization, which can be used in the all kinds of algorithms to produce initial values. The examples show that the algorithm this paper presents can get good stochastic values satisfied with constrained conditions.

• 出版日期2009
• 单位太原科技大学