Results 51 to 60 of about 5,749 (206)

Data‐Driven Parameterization Refinement for the Structural Optimization of Cruise Ship Hulls

International Journal for Numerical Methods in Engineering, Volume 126, Issue 24, 30 December 2025.
ABSTRACT In this work, we focus on the early design phase of cruise ship hulls, where the designers are tasked with ensuring the structural resilience of the ship against extreme waves while reducing steel usage and respecting safety and manufacturing constraints. At this stage, the geometry of the ship is already finalized, and the designer can choose
Lorenzo Fabris, Marco Tezzele, Ciro Busiello, Mauro Sicchiero, Gianluigi Rozza   +4 more
wiley   +1 more source

QUBO Formulations and Characterization of Penalty Parameters for the Multi-Knapsack Problem

IEEE Access
The Multi-Knapsack Problem (MKP) is a fundamental challenge in operations research and combinatorial optimization. Quantum computing introduces new possibilities for solving MKP using Quadratic Unconstrained Binary Optimization (QUBO) models.
Evren Guney, Joachim Ehrenthal, Thomas Hanne   +2 more
doaj   +1 more source

Determining the Optimal Sequence of Multiple Tests

Statistics in Medicine, Volume 44, Issue 23-24, October 2025.
ABSTRACT The use of multiple tests can improve medical decision making by balancing the benefits of correctly treating ill patients and avoiding unnecessary treatment for healthy individuals against the potential harms of missed diagnoses, inappropriate treatments, and the costs and risks associated with testing. We quantify the incremental net benefit
Lucas Böttcher, Stefan Felder
wiley   +1 more source

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm

, 2017
How to maintain relative high diversity is important to avoid premature convergence in population-based optimization methods. Island model is widely considered as a major approach to achieve this because of its flexibility and high efficiency.
Ellisy, John, Kennedy, Paul J., Meng, Qinxue, Wu, Jia   +3 more
core   +1 more source

The Influence of Neighborhood on Infant Parasympathetic Nervous System Development

Developmental Psychobiology, Volume 67, Issue 5, September 2025.
ABSTRACT The adaptive calibration model (ACM) asserts that the stress response system, including the parasympathetic nervous system (PNS), conditionally adapts to one's environment. In infancy, the proximal context of parental influences (e.g., maternal depression/anxiety) affects the development of the infant stress response system.
Marisa N. Lytle, Anna M. Zhou, Elizabeth Youatt, Centia Thomas, Dawn Witherspoon, Vanessa LoBue, Kristin A. Buss, Koraly Pérez‐Edgar   +7 more
wiley   +1 more source

Solving the continuous nonlinear resource allocation problem with an interior point method

, 2013
Resource allocation problems are usually solved with specialized methods exploiting their general sparsity and problem-specific algebraic structure. We show that the sparsity structure alone yields a closed-form Newton search direction for the generic ...
Rohal, James J., Wright, Stephen E.
core   +1 more source

Deviation From the Regression of Yield on Nitrogen Fertiliser Rate as a Tool for Detecting Fraud in Organic Banana Production

Journal of Plant Nutrition and Soil Science, Volume 188, Issue 4, Page 604-615, August 2025.
ABSTRACT Background and aims Bananas are demanding in nitrogen (N) input; therefore, there is a temptation for organic farmers for using synthetic N fertilisers, which are not allowed under organic standards. The aim of our study was to develop a tool that identifies high banana yields obtained with suspiciously low organic N input.
Albrecht Benzing, Hans‐Peter Piepho, Ryan Orr, Juan‐Carlos Ullauri   +3 more
wiley   +1 more source

MaxHedge: Maximising a Maximum Online [PDF]

, 2019
We introduce a new online learning framework where, at each trial, the learner is required to select a subset of actions from a given known action set. Each action is associated with an energy value, a reward and a cost.
Chan, Kevin, Herbster, Mark, Pasteris, Stephen, Vitale, Fabio, Wang, Shiqiang   +4 more
core   +2 more sources

Solving Large‐Scale Weapon Target Assignment Problems in Seconds Using Branch‐Price‐And‐Cut

Naval Research Logistics (NRL), Volume 72, Issue 5, Page 735-749, August 2025.
ABSTRACT This paper proposes a framework based on branch‐price‐and‐cut to solve the weapon target assignment (WTA) problem, a popular class of non‐linear assignment problems that has received significant attention over the past several decades. We first reformulate the WTA into a form amenable to column generation and then derive efficient algorithms ...
Dimitris Bertsimas, Alex Paskov
wiley   +1 more source

On solving discrete optimization problems with one random element under general regret functions [PDF]

, 2005
In this paper we consider the class of stochastic discrete optimization problems in which the feasibility of a solution does not depend on the particular values the random elements in the problem take. Given a regret function, we introduce the concept of
Das, S., Ghosh, D., Mandal, P.K.
core   +1 more source