Results 101 to 110 of about 4,775,611 (190)
<p>ENGLISH ABSTRACT: The knapsack problem is a classical optimization problem in which an optimum set of items is chosen according to some or other attribute, and subject to a limiting constraint(bottleneckl.
Keith Sandrock
doaj
Considering a Classical Upper Bound on the Frobenius Number
In this paper, we study the (classical) Frobenius problem, namely the problem of finding the largest integer that cannot be represented as a nonnegative integer combination of given, relatively prime, (strictly) positive integers (known as the Frobenius ...
Aled Williams, Daiki Haijima
doaj +1 more source
Philosophy of phenomic prediction and its incompatibility with causal inference
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann +2 more
wiley +1 more source
Task Assignment with Autonomous and Controlled Agents [PDF]
We analyse assignment problems in which not all agents are controlled by the central planner. The autonomous agents search for vacant tasks guided by their own preference orders defined over subsets of the available tasks. The goal of the central planner
Nicholas Jennings +4 more
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Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
Constrained optimization underlies crucial societal problems, for instance, stock trading and bandwidth allocation. However, it is often computationally hard, in that complexity grows exponentially with problem size. The big‐data era urgently demands low‐
Jinzhan Li, Suhas Kumar, Su‐in Yi
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Heat Perceptions, Behaviors, and Barriers of Unhoused Individuals in Germany
Across in‐depth interviews and a survey of 252 unhoused people in 13 German cities, many underestimated heat risks yet often experienced heat‐related fatigue, nausea, or faintness. Participants reported limited hydration and frequent eviction from cooling spots, heat‐aggravating medication whose dosage and storage were rarely adapted, and minimal sun ...
Philipp Sprengholz +5 more
wiley +1 more source
ABSTRACT Teachers must, in one way or another, address issues of Artificial Intelligence (AI) and generative AI (GAI). The urgency became even more acute when the chatbot ChatGPT was launched in November 2022, changing the conditions for teaching and learning in schools, creating tensions within the educational system. The aim of the study is to deepen
Ulrika Bergmark +2 more
wiley +1 more source
An index for dynamic product promotion and the knapsack problem for perishable items [PDF]
This paper introduces the knapsack problem for perishable items (KPPI), which concerns the optimal dynamic allocation of a limited promotion space to a collection of perishable items. Such a problem is motivated by applications in a variety of industries,
Peter Jacko, Jose Nino-MOra
core
Approximate Solutions to the Multiple-Choice Knapsack Problem by Multiobjectivization and Chebyshev Scalarization [PDF]
The method BISSA, proposed by Bednarczuk, Miroforidis, and Pyzel, provides approximate solutions to the multiple-choice knapsack problem. To fathom the optimality gap that is left by BISSA, we present a method that starts from the BISSA solution and it ...
Ewa M. Bednarczuk +2 more
doaj
The Effects of Tootling on Complimenting and Peer Prompting in Second‐Grade Students
ABSTRACT Tootling interventions can enhance students' social skill performance outside the social skill training environment. With Tootling interventions, group‐oriented rewards are delivered contingent upon the number of reports students provide of their peers' engagement in prosocial behavior(s).
Carsyn E. Poppe +5 more
wiley +1 more source

