多主体社会经济系统仿真模型中行为策略的优化

IF 0.3 Q4 ECONOMICS
Andranick Akopov
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引用次数: 0

摘要

本文提出了一种新的多主体社会经济系统(MA-SES)仿真模型,该模型实现了包括产品间交互在内的个体交互。在MA-SES中,研究了具有目标函数的代理人-生产者和代理人-消费者行为模型。特别是,生产者通过选择引入新的固定资产和劳动力资源的时机,遵循自己的生产策略。消费者通过与其他代理人互动参与物物交换和货币交易。利用具有给定特征的对数正态分布(即系统的控制参数),建立了每个时刻主体(生产者)引入新的固定资产和劳动力资源的准备状态,以及主体(消费者)完成物物交换和货币交易的准备状态。重要的双目标优化问题,制定了集合的代理人-生产者和代理人-消费者。特别是,开发了一种新的并行混合遗传算法(MORCGA-MOPSO),提供了寻求帕累托最优解的可能性,以最大化平均(在代理人集合上)利润和代理人生产者购买者的总数,以及最大化代理人消费者的平均效用和货币储蓄。对数正态分布的参数决定了做出单独决策的交互代理的状态。确定了生产者和消费者的行为策略特征,从而可以通过控制生产资源投入的动态和选择产品间相互作用的首选类型,特别是易货、货币等,实现目标函数价值的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of behaviour strategies within the simulation model of a multi-agent socio-economic system
This article presents a new simulation model of a multi-agent socio-economic system (MA-SES), in which individual, including interproduct interactions are implemented. Within the MA-SES, the models of agent-producers and agents-consumers behaviour with their objective functions are studied. In particular, producers follow their own production strategies by choosing the moments for introducing new fixed assets and labour resources. Consumers participate in barter and monetary deals by interacting with other agents. The states of readiness of agents-producers to introduce new fixed assets and labour resources, as well as the states of readiness of agents-consumers to complete barter and monetary deals are set up for each time moment using lognormal distributions with given characteristics, which are the control parameters of the system. Important bi-objective optimisation problems are formulated for ensembles of agents-producers and agents-consumers. A new parallel hybrid genetic algorithm (MORCGA-MOPSO) was developed, in particular, providing the possibility of seeking the Pareto-optimal solutions for maximising the average (over an ensemble of agents) profit and the total number of agent-producers’ buyers, as well as maximising the average utility and monetary savings of agents-consumers. The parameters of log-normal distributions that determine the states of interacting agents that make individual decisions are computed. The features of the behavioural strategies of producers and consumers are determined, which make possible to achieve an improvement in the values of the objective functions through controlling the dynamics of the input of production resources and choosing the preferred types of interproduct interactions, in particular, barter, monetary etc.
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