Results 41 to 50 of about 3,752,335 (283)

Focused Local Search for Random 3-Satisfiability

, 2005
A local search algorithm solving an NP-complete optimisation problem can be viewed as a stochastic process moving in an 'energy landscape' towards eventually finding an optimal solution.
Aarts E, Aurell E, Braunstein A, Braunstein A Mézard M Zecchina R, Cocco S Monasson R Montanari A Semerjian G, Du D, Garey M R, Gu J, Hoos H H, Hoos H H, Jia H Moore C Selman B, Maneva E Mossel E Wainwright M J, Mertens S, Mikko Alava, Mitchell D Selman B Levesque H, Montanari A, Parisi G, Parkes A J, Parkes A J, Pekka Orponen, Sakari Seitz, Seitz S Orponen P, Selman B Kautz H Cohen B Johnson D S Trick M A, Selman B Levesque H J Mitchell D G, Semerjian G Monasson R, Wei W Selman B   +25 more
core   +1 more source

Speeding up neighborhood search in local Gaussian process prediction [PDF]

, 2015
Recent implementations of local approximate Gaussian process models have pushed computational boundaries for non-linear, non-parametric prediction problems, particularly when deployed as emulators for computer experiments.
Gramacy, Robert B., Haaland, Benjamin
core   +2 more sources

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source

An optimal solution for software testing case generation based on particle swarm optimization

Open Physics, 2018
Searching based testing case generation technology converts the problem of testing case generation to function optimizations, through a fitness function, which is usually optimized using heuristic search algorithms.
Jianqi Shi, Yanhong Huang, Ang Li, Fangda Cai   +3 more
doaj   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

A Novel Spatial-Temporal Voronoi Diagram-Based Heuristic Approach for Large-Scale Vehicle Routing Optimization with Time Constraints

ISPRS International Journal of Geo-Information, 2015
Vehicle routing optimization (VRO) designs the best routes to reduce travel cost, energy consumption, and carbon emission. Due to non-deterministic polynomial-time hard (NP-hard) complexity, many VROs involved in real-world applications require too much ...
Wei Tu, Qingquan Li, Zhixiang Fang, Baoding Zhou   +3 more
doaj   +1 more source

Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs

, 2011
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on independence criteria, and those based on a scoring function and a search ...
Acid, S., de Campos, L. M.
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Integrating Conflict Driven Clause Learning to Local Search

, 2009
This article introduces SatHyS (SAT HYbrid Solver), a novel hybrid approach for propositional satisfiability. It combines local search and conflict driven clause learning (CDCL) scheme. Each time the local search part reaches a local minimum, the CDCL is
Bertrand Mazure, Christine Solnon, Gilles Audenard, Jean-Marie Lagniez, Lakhdar Saïs, Yves Deville   +5 more
core   +3 more sources

Multi-layer local optima networks for the analysis of advanced local search-based algorithms

, 2020
A Local Optima Network (LON) is a graph model that compresses the fitness landscape of a particular combinatorial optimization problem based on a specific neighborhood operator and a local search algorithm.
Daolio Fabio, Domenico Manlio De, Hernando Leticia, Ochoa Gabriela, Thomson Sarah, Verel Sébastien, Vérel Sébastien   +6 more
core   +1 more source