Particle Swarm Optimization of a Class of Nonlinear Medical Problems

被引：0

作者：

Liu Xi-yu ^{[1
]}

Liu Hong ^{[2
]}

Wang Yu-xia ^{[3
]}

机构：

[1] Shandong Normal Univ, Sch Management & Econ, Jinan 250014, Peoples R China

[2] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China

[3] Shandong Econ Univ, Sch Stat & Math, Jinan 250014, Peoples R China

来源：

2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/ITIME.2009.5236276

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nonlinear problems of fourth order appear in medical analysis. Most research focus on the existence of solutions by topological indices and critical point theory. Inspired by the effective randomized searching nature of PSO, this paper presents a new technique of optimizing fourth order nonlinear problems. We also give an example that satisfies the conditions of a previous result of CC Pang. Experiments are presented to show the effect of the algorithms.

引用

页码：1187 / +

页数：2

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