Results 101 to 110 of about 1,200,755 (251)

Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation

open access: yes, 2007
The allocation of fresh produce to shelf space represents a new decision support research area which is motivated by the desire of many retailers to improve their service due to the increasing demand for fresh food. However, automated decision making for
Kendall, Graham   +6 more
core   +1 more source

Hierarchical Differentiable Fluid Simulation

open access: yesComputer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong   +4 more
wiley   +1 more source

Hyper-heuristic driven sustainable wireless networks for crisis-resilient communication systems

open access: yesFrontiers in Communications and Networks
IntroductionCommunication infrastructures are often severely disrupted during natural disasters, armed conflicts, and large-scale humanitarian crises, hindering coordination among emergency responders and affected populations. Rapidly deployable wireless
Samir Haddad   +3 more
doaj   +1 more source

A Column Generation Based Hyper-Heuristic to the Bus Driver Scheduling Problem

open access: yesDiscrete Dynamics in Nature and Society, 2015
Public transit providers are facing continuous pressure to improve service quality and reduce operating costs. Bus driver scheduling is among the most studied problems in this area.
Hong Li, Ying Wang, Shi Li, Sujian Li
doaj   +1 more source

An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex [PDF]

open access: yes, 2014
Apprenticeship learning occurs via observations while an expert is in action. A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics for ...
Shahriar Asta   +3 more
core   +1 more source

Adaptive Sampling for BRDF Acquisition

open access: yesComputer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi   +3 more
wiley   +1 more source

PENDEKATAN HYPER HEURISTIC DENGAN KOMBINASI ALGORITMA PADA EXAMINATION TIMETABLING PROBLEM

open access: yesIlkom Jurnal Ilmiah, 2019
Generally, exam scheduling is still done manually and definitely will take a long time. Many researches have developed various studies to find a more appropriate strategy. Hyperheuristic was proposed in this study.
Vicha Azthanty Supoyo, Ahmad Muklason
doaj   +1 more source

OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS

open access: yesComputer Graphics Forum, EarlyView.
Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li   +3 more
wiley   +1 more source

NeuHH: A Neuromorphic-Inspired Hyper-Heuristic Framework for Solving the Capacitated Single-Allocation p-Hub Location Routing Problem

open access: yesVehicles
This paper introduces a novel neuromorphic-inspired hyper-heuristic framework (NeuHH) for solving the Capacitated Single-Allocation p-Hub Location Routing Problem (CSAp-HLRP), a challenging combinatorial optimization problem that jointly addresses hub ...
Kassem Danach   +3 more
doaj   +1 more source

Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics

open access: yesComputer Graphics Forum, EarlyView.
Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
wiley   +1 more source

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