基于Agent的虾类养殖过程的建模与仿真研究

 虾类养殖过程受水质、饲料投放量等因素的影响，是一个典型的复杂生态自适应系统。依据虾类生态结构及行为特征，将影响虾类生态的主要对象（因素）分别设计为Agent模型，建立各类Agent的结构、功能、通信方式和行为规则；按照各类Agent的相互影响关系构成虾类养殖的多Agent系统（multi agent system，MAS）；设定相应的参数，以时间推进为演化动力对该系统进行演化仿真。通过对系统的演化仿真，得出了虾群在人工养殖条件下相关指标的变化规律，为优化养殖过程提供参考。研究结果表明，通过多Agent系统（MAS）来研究人工养殖过程是可行的，为人工养殖系统的研究提供非常有益的借鉴。

Research of Modeling and Simulation of Shrimp Farming Process Based on Agent

Shrimp farming process was affected by water quality, feed volume and other factors. Its a typical complex adaptive ecology system. Based on ecological structure and behavior characteristics of shrimp, the main object (factors) of impact shrimp ecological was designed to Agent model. Structure, function, communication and rules of conduct were established for Agents. A multi agent system was constituted according to the relationship among various types of simulation shrimp farming constitutes. By setting the appropriate parameters, system simulation was evolute with the power of time marching. The change rule of relevant indicators was obtained under the conditions of shrimp group farming. The results show that studying farming through a multi agent systems (MAS) approach was feasible. The results of the research can be used as a reference for farming system.