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Community of scientist optimization: An autonomy oriented approach to distributed optimization

机译：科学家优化社区：一种面向自治的分布式优化方法

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摘要

A novel optimization paradigm, called Community of Scientists Optimization (CoSO), is presented in this paper. The approach is inspired to the behaviour of a community of scientists interacting, pursuing for research results and foraging the funds needed to held their research activities. The CoSO metaphor can be applied to general optimization domains, where optimal solutions emerge from the collective behaviour of a distributed community of interacting autonomous entities. The CoSO framework presents analogies and remarkable differences with other evolutionary optimization approaches: swarm behaviour, foraging and selection mechanism based on research funds competition, dynamically evolving multicapacity communication channels realized by journals and evolving population size regulated by research management strategies. Experiments and comparisons on benchmark problems show the effectiveness of the approach for numerical optimization. CoSO, with the design of appropriate foraging and competition strategies, also represents a great potential as a general meta-heuristic for applications in non-numerical and agent-based domains.
机译：本文提出了一种新颖的优化范例，称为“科学家优化共同体”（CoSO）。这种方法的灵感来自于一群科学家的互动行为，他们寻求研究成果并寻找进行其研究活动所需的资金。 CoSO隐喻可以应用于一般的优化域，在该域​​中，最佳解决方案是从交互自治实体的分布式社区的集体行为中得出的。 CoSO框架提供了与其他进化优化方法的类比和显着差异：群体行为，基于研究资金竞争的觅食和选择机制，由期刊实现的动态发展的多容量沟通渠道以及由研究管理策略调节的人口规模。对基准问题的实验和比较表明了数值优化方法的有效性。通过设计适当的觅食和竞争策略，CoSO作为非元域和基于代理的领域中的通用元启发式方法也具有巨大的潜力。

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  • 来源
    《AI communications》 |2012年第2期|p.157-172|共16页
  • 作者

    Alfredo Milani; Valentino Santucci;

  • 作者单位

    Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy,Department of Computer Science, Hong Kong Baptist University, Hong Kong, China,Alfredo Milani, Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy;

    Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy;

  • 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

    evolutionary optimization; autonomy oriented optimization; numerical optimization;

    机译：进化优化;自主优化数值优化;

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