贻贝群随机运动的河床模式形成模拟
本文研究目标：1）对贻贝运动的总体模式进行了进一步的形式化描述和探讨；2）给出贻贝的运动模式及河床景观特征；3）给出了群体智能算法的总体模式伪方程和框图描述，并提出群体智能计算模式的统一框架理念，给出了群体智能的总体分层框架模型。鉴于此，本文研究贻贝的运动模式及河床景观特征，给出对随机运动模式的表达；学习贻贝群河床模式的形成过程，在此基础上进行基于MATLAB的随机运动模式的贻贝群河床的模拟。
论文的主要研究内容包括：
（1）人工智能总结。
（2）研究贻贝景观模式形成，对群体智能算法的寻优动态效能评价模式研究，在智能优化基本指标体系的指导下，以微粒群算法的函数优化问题为例，构建一种能够综合评价算法整体优化性能和群体总体寻优动态的微粒群优化动态效能评价模式体系，并分别对算法最优值动态、群体聚合度动态、重心收敛度动态和群体多样性动态等评价模式进行了实例仿真和有效性验证。
（3）基于随机运动模式的贻贝和床模式形成仿真模拟。
最后对整篇论文的重要研究内容进行了全面的总结，并且对贻贝群随机运动的河床模式形成模拟进行的描述，明确了以后的研究工作的目标和方向。
毕业论文关键词： 自然界;人工智能;智能优化;布朗运动;贻贝河床;群体智能;MWO模型
Mussels group of random motion pattern formation simulation of river bed
ABSTRACT:Before study this subject first, first of all need to understand what is a "community"?Group "refers to the people for some common purpose between, each other together in a certain way, the interaction between each other, common sense and have psychological emotional connection of two or more persons.Is relative to the inpidual, but not any of several people can constitute a group.Group refers to two or more than two people, in order to achieve a common goal, together in a certain way for activities of people. There are complex in nature, there are many kinds of biological cluster behavior, biologists have done a lot of research, have also made a lot of important research results.Cluster behavior to a certain extent, is dominated by swarm intelligence, the so-called swarm intelligence refers to many simple inpidual groups, through mutual cooperation to show the characteristics of intelligent behavior.Nature, animals, insects, often with the power of the collective to avoid predators, foraging, performed by a single inpidual behavior is the lack of intelligence, but by groups of inpiduals are shows a kind of effective complex intelligent behavior.This article to do the main work is through the establishment of appropriate mathematical model, using the computing simulation language, study groups cluster movement.