【摘 要】
：
将多目标智能优化算法与梯度算法的进化策略有机结合,即对每一种群用梯度算法求解其下一代新群体,并采用实数运算,构造一种混合多目标梯度算法.利用测试函数分析算法的优劣,
【机 构】
：
浙江工业大学信息工程学院,合肥工业大学电气与自动化工程学院,电子科技大学通信与信息工程学院
论文部分内容阅读
将多目标智能优化算法与梯度算法的进化策略有机结合,即对每一种群用梯度算法求解其下一代新群体,并采用实数运算,构造一种混合多目标梯度算法.利用测试函数分析算法的优劣,并将其应用于IMRT逆向计划过程.目标函数中的PTV和NT是基于平均计量分布,通过水模中的测试算例,得出强度分布.结果表明,该混合多目标梯度算法可节省大量计算时间且具有较高的计算精度,故能够满足实际应用的要求.
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