摘要
精密加工领域的照明质量对人的主观视觉感受和工作绩效具有重要影响,所以照度均匀度的有效评定具有重要意义。针对照度均匀度评定这一非线性优化问题,提出了一种基于改进的粒子群优化算法的照度均匀度评定方法。在详细阐述算法的基本原理和实现步骤的前提下,给出了其优化目标函数及算法的适应度函数,并对算法实行了可行性和准确性验证。对照度均匀度函数进行仿真实验的结果表明,该方法不但提高了计算精度,而且降低了局部收敛的可能。
Illumination quality has important influence for the subjective visual feeling and work results in precise machining field.So it is valuable for illumination uniformity evaluation.A new approach for illumination uniformity evaluation based on the improved particle swarm optimization is proposed.The optimization fundamentals and implementation techniques are given,then its optimization goal and the fitness function of the optimization are described.An example is taken for verifying the feasibility and computation precision of the approach.Illumination uniformity function is simulated by the approach,and the result shows the probability of local convergence is declined and the precision is improved.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第36期47-49,共3页
Computer Engineering and Applications
关键词
粒子群优化算法
照度
均匀度评定
Particle Swarm Optimization(PSO) illumination uniformity evaluation