检索结果-内蒙古大学图书馆

An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems

SOCIO-ECONOMIC PLANNING SCIENCES 2016年 56卷 67-87页

作者： Haghnevis, Moeed Askin, Ronald G. Armbruster, Dieter Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85287 USA Arizona State Univ Sch Math & Stat Sci Tempe AZ 85287 USA

The objective of this study is to present a formal agent-based modeling (ABM) platform that enables managers to predict and partially control patterns of behaviors in certain engineered complex adaptive systems (ECASs). The approach integrates social networks, social science, complex systems, and diffusion theory into a consumer-based optimization and agent-based modeling (ABM) platform. Demonstrated on the U.S. electricity markets, ABM is integrated with normative and subjective decision behavior recommended by the U.S. Department of Energy (DOE) and Federal Energy Regulatory Commission (FERC). Furthermore, the modeling and solution methodology address shortcomings in previous ABM and Transactive Energy (TE) approaches and advances our ability to model and understand ECAS behaviors through computational intelligence. The mathematical approach is a non-convex consumer based optimization model that is integrated with an ABM in a game environment. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Agent-based modeling and simulation Complex adaptive systems non-linear complexity US electricity markets Demand response Transactive energy

来源：评论

学校读者我要写书评

暂无评论

An Integrated Optimization and Agent-Based Framework for the US Power System

An Integrated Optimization and Agent-Based Framework for the...

引用

Conference of the Complex Adaptive Systems on Responding to Continuous Global Change in Systems Needs

作者： Haghnevis, Moeed Shinde, Amit Askin, Ronald G. Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85287 USA

Today, many of the engineered systems are comprised of a large number of components that interact with each other and have the ability to exhibit emergent behavior thus enabling a system to adapt to changing environments. Using the example of the US power grid as a complex adaptive system, we demonstrate how components in a multi-layered power grid structure dynamically interact, evolve and adapt over time. In our model, electricity regulators strive to balance workload by dynamically adjusting service attributes in response to demand fluctuations. Additionally, they seek to change long-term consumption patterns by providing incentives and social education. Moreover, consumer agents focus on maximizing quantitative and qualitative utilities. By embedding a non-convex optimization model with the agent-based framework we study cooperativeness or competition in the consumers game environment. Our framework allows us to study the behavior of consumers under different control and incentive strategies. We expand model dynamics to include intrinsic environment and control factors. This study also examines circumstances in which agent-based and equilibrium models present similar outcomes or are unable to converge to same results. This method is used to study the robustness of the results, present equilibriums of interoperability equations, and study dynamics of traits.

关键词： Agent-based Modeling and Simulation non-convex Optimization Complex Adaptive systems non-linear complexity

来源：评论

学校读者我要写书评

暂无评论

An Integrated Optimization and Agent-Based Framework for the U.S. Power System

引用

Procedia Computer Science 2011年 6卷 451-456页

作者： Moeed Haghnevis Amit Shinde Ronald G. Askin School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe USA AZ 85287-8809

Today, many of the engineered systems are comprised of a large number of components that interact with each other and have the ability to exhibit emergent behavior thus enabling a system to adapt to changing environments. Using the example of the US power grid as a complex adaptive system, we demonstrate how components in a multi-layered power grid structure dynamically interact, evolve and adapt over time. In our model, electricity regulators strive to balance workload by dynamically adjusting service attributes in response to demand uctuations. Additionally, they seek to change long-term consumption patterns by providing incentives and social education. Moreover, consumer agents focus on maximizing quantitative and qualitative utilities. By embedding a non-convex optimization model with the agent-based framework we study cooperativeness or competition in the consumers game environment. Our framework allows us to study the behavior of consumers under di_erent control and incentive strategies. We expand model dynamics to include intrinsic environment and control factors. This study also examines circumstances in which agent-based and equilibrium models present similar outcomes or are unable to converge to same results. This method is used to study the robustness of the results, present equilibriums of interoperability equations, and study dynamics of traits.

关键词： Agent-based Modeling and Simulation non-convex Optimization Complex Adaptive systems non-linear complexity

来源：评论

学校读者我要写书评

暂无评论

Lower bounds for the non-linear complexity of algebraic computation trees with integer inputs

引用

Computational complexity 1991年第3期1卷 257-268页

作者： Hirsch, Michael D. Department of Computer Science Princeton University Princeton 08544 NJ United States

Andrew Yao proved some lower bounds for algebraic computation trees with integer inputs. In his key result he proved bounds on the number of components of the leaf space of a homogeneous decision tree derived from a computation tree. In this paper we present a shorter and more conceptual proof. We introduce the concept of a regulated tree as a generalization of a regular tree which has the advantage of allowing the same lower bounds on the non-linear portion of the complexity. The proof is an application of a result of Ben-Or. © 1991 Birkhäuser Verlag.

关键词： computation trees Lower bounds non-linear complexity real algebraic geometry Subject classifications: 68Q05, 68Q15, 26C10, 26C15

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：