Results 91 to 100 of about 7,687 (217)
Sub‐optimal Internet of Thing devices deployment using branch and bound method
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
Non-linear great deluge with learning mechanism for solving the course timetabling problem [PDF]
International ...
Landa-Silva, D. +3 more
core +1 more source
A Column Generation Based Hyper-Heuristic to the Bus Driver Scheduling Problem
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
Abstract In this paper, we present a foray into the computational study of anthropological texts. Drawing on a corpus of approximately 2,500 articles published in the Journal of the Royal Anthropological Institute (formerly Man) from 1950 to 2018, we discuss selected findings from the deployment of two methods for computational text analysis, namely ...
Kristoffer Albris +4 more
wiley +1 more source
PENDEKATAN HYPER HEURISTIC DENGAN KOMBINASI ALGORITMA PADA EXAMINATION TIMETABLING PROBLEM
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
Abstract In this article we apply Wacquant's conceptualization of the ghetto to an analysis of interviews conducted with Roma people living in the state‐enforced camps of Turin, Italy. We illustrate how the elements characterizing a ghetto according to Wacquant (i.e.
Vincenzo Romania, Tommaso Bertazzo
wiley +1 more source
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
Hierarchical Differentiable Fluid Simulation
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
Towards Many-objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators [PDF]
PPSN 2016: 14th International Conference on Parallel Problem Solving from Nature, 17-21 September 2016, Edinburgh, ScotlandThis is the author accepted manuscript.
EK Burke +6 more
core +2 more sources
Adaptive Sampling for BRDF Acquisition
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

