Results 61 to 70 of about 4,882,239 (315)
A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine
IEEE Access, 2021 Ising machines are promising alternatives to solve combinatorial optimization problems, which search for their quasi-optimal solutions with high speed and high accuracy.
Keisuke Fukada +3 more
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By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
OPTIMIZATION FOR ONE CLASS OF COMBINATORIAL PROBLEMS UNDER UNCERTAINTY
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2019 We formalize uncertainty and compromise solution concepts, compromise criteria and conditions for a sufficiently common class of combinatorial optimization problems which functional contains a linear convolution of weights and of arbitrary numerical ...
A. A. Pavlov
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Flexible Wolf Pack Algorithm for Dynamic Multidimensional Knapsack Problems
Research, 2020 Optimization problems especially in a dynamic environment is a hot research area that has attracted notable attention in the past decades. It is clear from the dynamic optimization literatures that most of the efforts have been devoted to continuous ...
Husheng Wu, Renbin Xiao
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Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent
Results in PhysicsCombinatorial optimization has wide and high-value applications in many fields of science and industry, but solving general combinatorial optimization problems is non-deterministic polynomial time (NP) hard.
Xin Yi +5 more
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A Combinatorial Optimization Approach for Air Cargo Palletization and Aircraft Loading
Mathematics, 2023 The current air cargo loading plan handles the Air Cargo Palletization Problem (ACPP) and the Aircraft Weight and Balance Problem (WBP) separately, which has an impact on the optimization of the payload and the aircraft’s center of gravity (CG).
Xiangling Zhao, Yun Dong, Lei Zuo
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Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Algorithms, 2018 We consider one approach to formalize the Resource-Constrained Project Scheduling Problem (RCPSP) in terms of combinatorial optimization theory. The transformation of the original problem into combinatorial setting is based on interpreting each operation
Alexander A. Lazarev +2 more
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An Approach to Aid Decision-Making by Solving Complex Optimization Problems Using SQL Queries
Applied Sciences, 2022 In combinatorial optimization, the more complex a problem is, the more challenging it becomes, usually causing most research to focus on creating solvers for larger cases.
Jose Torres-Jimenez +3 more
doaj +1 more source