首页> 外文期刊>Simulation >Special issue: M&S optimization applications in industry and engineering
【24h】

Special issue: M&S optimization applications in industry and engineering

机译:特刊:M&S优化在工业和工程中的应用

获取原文
获取原文并翻译 | 示例
       

摘要

Modeling and simulation (M&S) optimization applications in industry and engineering are as old as M&S itself, but the growth in computational power has allowed the description and resolution of complex issues using heuristic optimizations and M&S outside computational laboratories and in direct support of the workforce. This resulted in recent advancements in methodologies and frameworks of heuristic optimizations in industrial environments which have increased the spectrum of design and analysis tools to study complex engineering and business systems. In numerous business and engineering applications, optimization or M&S tools have been used independently to face and generate solutions and understanding of these applications. Further, many simulation-based optimization approaches have been designed and implemented to adequately estimate feasible solutions to major intricate problems that require capable tools that capture and process the inherent complexities associated with complex issues.
机译:工业和工程领域中的建模与仿真(M&S)优化应用与M&S本身一样古老,但是计算能力的增长允许使用启发式优化和M&S在计算实验室之外并在员工的直接支持下描述和解决复杂问题。这导致了在工业环境中启发式优化的方法和框架方面的最新发展,这增加了用于研究复杂工程和业务系统的设计和分析工具的范围。在许多业务和工程应用程序中,优化或M&S工具已被独立使用来面对和生成解决方案并理解这些应用程序。此外,已经设计并实施了许多基于仿真的优化方法,以充分估计主要复杂问题的可行解决方案,这些问题需要功能强大的工具来捕获和处理与复杂问题相关的固有复杂性。

著录项

  • 来源
    《Simulation》 |2013年第3期|251-253|共3页
  • 作者

    Rafael Diaz; Andreas Tolk;

  • 作者单位

    Old Dominion University, Virginia Modeling, Analysis, & Simulation Center, Department of Engineering Management, 5115 Hampton Boulevard, Norfolk, VA 23529, USA;

    Old Dominion University, Virginia Modeling, Analysis, & Simulation Center, Department of Engineering Management, 5115 Hampton Boulevard, Norfolk, VA 23529, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:50:30

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号