Particle Swarm Optimization of a class of nonlinear medical problems

Xiyu Liu, Hong Liu, Yu-xia Wang
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Abstract

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.
一类非线性医学问题的粒子群优化
医学分析中经常出现四阶非线性问题。大多数研究集中在拓扑指标和临界点理论的解的存在性上。受粒子群算法有效的随机搜索特性的启发,提出了一种求解四阶非线性问题的优化方法。我们还给出了一个例子,它满足了CC Pang先前结果的条件。通过实验验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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