Results 51 to 60 of about 7,624,569 (302)
A Large Neighborhood Search Heuristic for Graph Coloring
, 2007 We propose a new local search heuristic for graph coloring that searches very large neighborhoods. The heuristic is based on solving a MAX-CUT problem at each step. While the MAX-CUT problem is formally hard, fast heuristics that give "good" cuts are available to solve this. We provide computational results on benchmark instances. The proposed approach
Michael A. Trick, Hakan Yildiz
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Hamiltonian-Connected Graphs with Large Neighborhoods and Degrees
Missouri Journal of Mathematical Sciences, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kewen, Zhao, Lai, Hong-Jian, Zhou, Ju
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Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source
AlgorithmsThis study focuses on the integrated scheduling issues of imaging and data transmission for Earth observation satellites, where each target needs to be imaged and transmitted within a feasible time window.
Guanfei Yu, Kunlun Zhang
doaj +1 more source
Revisiting the Self-adaptive Large Neighborhood Search
, 2018 This paper revisits the Self-Adaptive Large Neighborhood Search introduced by Laborie and Godard. We propose a variation in the weight-update mechanism especially useful when the LNS operators available in the portfolio exhibit unequal running times. We also propose some generic relaxations working for a large family of problems in a black-box fashion.
Thomas, Charles, Schaus, Pierre
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine +21 more
wiley +1 more source
A Spatial-Temporal Adaptive Neighborhood-Based Ratio Approach for Change Detection in SAR Images
Remote Sensing, 2018 The neighborhood-based method was proposed and widely used in the change detection of synthetic aperture radar (SAR) images because the neighborhood information of SAR images is effective to reduce the negative effect of speckle noise.
Huifu Zhuang +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source
Fairmount Neighborhood improvement plan [PDF]
, 1976 This report was prepared by the members of Fairmount Neighborhood Association, its Planning Committee, and Wichita-Sedgwick County Metropolitan Area Planning Department (principal author -- Diane May).Digitized by the University Libraries Technical ...
Fairmount Neighborhood Association
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Solving DCOPs with Distributed Large Neighborhood Search
CoRR, 2017 The field of Distributed Constraint Optimization has gained momentum in recent years, thanks to its ability to address various applications related to multi-agent cooperation. Nevertheless, solving Distributed Constraint Optimization Problems (DCOPs) optimally is NP-hard.
Ferdinando Fioretto +4 more
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