| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Research Abstract |
In recent years, the particle swarm optimization (PSO) has received much attention as a global optimization method. PSO succeeds in rapidly finding practically suboptimal solutions. However, it often fails to find the globally optimal solutions. It is therefore desirable to develop improved PSOs that rapidly find the globally optimal solutions with a high probability. As such an improved PSO, cautious particle swarm (CPS) has been proposed. The CPS employs an asymmetrical normal distribution to represent the probability density function for generating trajectories of the particles. In this research project, the effectiveness of the CPS and its contributing factors were examined.
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