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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 sys-tem,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。
Shrimp farming process by the water quality, feed dosage and other factors, is a typical complex ecosystem adaptive system. According to the ecological structure and behavioral characteristics of shrimp, the main objects (factors) that affect shrimp ecology are designed as Agent model, and the structure, function, communication and behavior rules of all kinds of Agent are established. According to the mutual influence relationship among various Agents Multi-agent sys-tem (MAS) for shrimp farming is set up; corresponding parameters are set and the system is evolved with time advance as the evolutionary power. Through the evolutionary simulation of the system, the variation rule of shrimp population under the condition of artificial breeding was obtained, which provided a reference for optimizing the culture process. The results show that it is feasible to study the process of artificial breeding by Multi-Agent System (MAS), which provides a very useful reference for the research of artificial breeding system.