.png){kind=icon}
返回
Desperately searching for something
.png){kind=icon}
OA
AI
DOI：10.1016/j.cnsns.2023.107339.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
There is a growing interest in novelty search : that is, in sampling a parameter space to search for radical or unexpected behaviour(s), occurring as a consequence of parameter choice, being input to some downstream complex system, process, or service that will not yield to analysis, without imposing any specific pre-ordained objective function, or fitness function to be optimised. We mean parameter in the widest sense, including system learnables, non-autonomous forcing, sequencing and all inputs.Depending upon the nature of the underlying parameter space of interest one may adopt a rather wide range of search algorithms. We do consider that this search activity has meta-objectives, though: one is of achieving diversity (efficiently reaching out across the space in some way); and one is of achieving some minimum density (not leaving out large unexplored holes). These are in tension. In general, the computational costs of both of these qualities become restrictive as the dimension of the parameter spaces increase; and consequently their balance is harder to maintain. We may also wish for a substantial random element of search to provide some luck in discovery and to avoid any naive preset sampling patterns.We consider archive-based methods within a range of spaces: finite discrete spaces, where the problem is straightforward (provided we are patient with the random element); Euclidean spaces, of increasing dimension, that become very lonely places; and infinite dimensional spaces. Our aim is to discuss a raft of distinctive search concepts, that respond to identified challenges, and rely on a rather diverse range of mathematical ideas. This arms practitioners with a range of highly practical methods.However applications requiring novelty search arise, one should avoid rushing to code-up a standard evolving search algorithm and instead give some thought to the nature and requirements of the search: there is a range of effective options available. We give some considered advice.& COPY; 2023 Published by Elsevier B.V.
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
9.3K
被引数:
1.8W
机构
引用论文
分享收藏分享收藏5–azacitidine Treatment of Imminent Relapse Defined by Decreasing Donor CD34+ Progenitor Subset Chimerism in Patients with CD34+ High-Risk Myelodysplastic Syndromes (MDS) or Acute Myeloid Leukemia (AML) after Allogeneic Stem Cell Transplantation.5–azacitidine治疗：在异基因干细胞移植后，针对CD34+高危骨髓增生异常综合征（MDS）或急性髓系白血病（AML）患者中，以降低的供者CD34+祖细胞亚群嵌合率为指标定义的即将复发患者的治疗。.png)
Blood
BloodIF0
PREAI
分享收藏分享收藏Arsenic trioxide and/or copper sulfate induced apoptosis and autophagy associated with oxidative stress and perturbation of mitochondrial dynamics in the thymus of Gallus gallusChemosphere
ChemosphereIF0
PREAI
分享收藏 没有更多内容
没有更多内容