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Agent-Based Models and Optimal Control in Biology: A Discrete Approach.

机译：基于agent的模型与生物学最优控制：一种离散方法。

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摘要

This chapter describes an approach to the optimal control of complex biological systems. Such systems can often be modeled effectively through agent- based computational models. To apply rigorous mathematical methods to synthesize optimal control strategies one approach is to approximate the agent- based model through a mathematical model for which analytic methods are available. One such framework is that of time-discrete, state-discrete dynamical systems, which can be described as polynomial dynamical systems over a finite field. The chapter presents algorithms, examples, and associated software for these tasks.

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作者
Hinkelmann, F.; Oremland, M.; Laubenbacher, R.;
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年度 2012
页码 1-57
总页数 57
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Multiagent systems; Optimization; Systems biology; Algorithms; Mathematical models; Polynomials; Agent based models; Biological networks; Discrete models; Optimal controls;

机译：多智能体系统;优化;系统生物学;算法;数学模型;多项式;基于agent的模型;生物网络;离散模型;最优控制;

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Agent-Based Models and Optimal Control in Biology: A Discrete Approach.

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