市场模拟人工生命技术的比较

Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06) Pub Date : 2006-01-04 DOI:10.1109/HICSS.2006.89

F. Gao, G. Gutiérrez-Alcaraz, G. Sheblé

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引用次数: 5

摘要

世界范围内的电力工业正在经历一个深刻的动荡时期。传统的垂直一体化机制被竞争的市场环境所取代。单纯的运行成本优化不足以对分布式、大规模复杂系统进行建模。市场模拟器将是一个有价值的培训和评估工具，帮助卖家、买家和监管机构了解系统的动态性能，做出更好的决策，避免一系列风险。本研究的目的是利用自适应多智能体系统对市场参与者进行建模，比较遗传算法(GA)、进化规划(EP)和粒子群(PS)等不同人工生命技术在模拟参与者行为方面的性能，找出模拟真实理性参与者的最佳方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparison of Artificial Life Techniques for Market Simulation

Electricity industries worldwide are undergoing a period of profound upheaval. Conventional vertically integrated mechanism is replaced by a competitive market environment. A pure operating cost optimization is not enough to model the distributed, large-scale complex system. A market simulator will be a valuable training and evaluation tool to assist sellers, buyers & regulators to understand system’s dynamic performance and make better decisions avoiding bunch of risks. The objective of this research is to model market players by adaptive multi-agent system, compare the performances of different artificial life technique such as Genetic Algorithm (GA), Evolutionary Programming (EP) and Particle Swarm (PS) in simulating players’ behaviors, identify the best method to emulates real rational participants.

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Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)

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