Optimization and Control

Optimization and Control
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DOI:
10.1007/978-3-662-45777-1_4
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发表时间:
2015
期刊:
--
影响因子:
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通讯作者:
S. Nof;José A. Ceroni;W. Jeong;M. Moghaddam
S. Nof;José A. Ceroni;W. Jeong;M. Moghaddam
中科院分区:
其他
文献类型:
--
作者:
S. Nof;José A. Ceroni;W. Jeong;M. Moghaddam

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考虑到协作电子工作的基础、工具和新兴发现(如第 1 章和第 2 章中所讨论的),我们认识到优化和控制主要集中在电子系统的核心要素上;代理、协议和工作流程。在本章中,我们将展示这些元素构成了新兴分布式电子工作系统中协作优化和控制的坚实框架。为了能够有效地将优势传递给更复杂的结构,例如自主代理系统、生产单元配置、高反应性控制协议等,这些元素也必须进行优化。为了展示涉及代理、协议和工作流理论的优化和控制最新发展的证据,本章回顾了实现优化设计和操作控制以及协作工程的最先进技术。本章涵盖了构建基于代理的自主系统的激励措施、从传统集中式工作系统向分散式电子工作系统转变中出现的关键电子标准,以及基于代理的系统的一些实际应用。回顾了基于代理的基本优化和控制架构,以及基于群体智能和自然进化的开创性仿生机制,及其对代理智能和自主性的影响。还讨论了协议和工作流程优化的几种技术。
Considering the foundations, tools, and emerging discoveries of collaborative e-Work, as discussed in Chapters 1 and 2, it is realized that optimization and control are focused primarily on the core elements of e-Systems; agents, protocols, and workflows. In this chapter, we will show that these elements compose a solid framework for optimization and control of collaboration in emerging distributed e-Work systems. In order to be able to efficiently pass the benefits on to more complex constructs such as autonomous agents systems, production units configuration, highly reactive control protocols, and so on, these elements must be optimized as well. In order to show the evidence of the latest developments in optimization and control involving agent, protocol, and workflow theories, this chapter reviews the state-of-the-art techniques for achieving optimal design and operational control, and collaboration engineering. This chapter covers the incentives to construct autonomous agent-based systems, the key e-Criteria emerging from the transformation from traditional centralized work systems to decentralized e-Work systems, and several real-life applications of agent-based systems. Basic agent-based optimization and control architectures are reviewed along with pioneering bioinspired mechanisms based on swarm intelligence and natural evolution, and their impact on the intelligence and autonomy of agents. Several techniques for protocol and workflow optimization are also discussed.