Suchergebnisse - "0–1 integer linear programming problem"

Algorithms the min-max regret 0-1 Integer Linear Programming Problem with Interval Data

Autoren: Carvalho, Iago A. Noronha, Thiago F. Duhamel, Christophe

Index Begriffe: Computer Science - Data Structures and Algorithms, Mathematics - Optimization and Control, 90C11, G.1.6, text

URL: http://arxiv.org/abs/1908.05082

Linear optimization of bipolar fuzzy relational equations with max-Łukasiewicz composition.

Autoren: Liu, Chia-Cheng Lur, Yung-Yih Wu, Yan-Kuen

Quelle: Information Sciences. Sep2016, Vol. 360, p149-162. 14p.

Schlagwörter: *MATHEMATICAL optimization, *ALGORITHMS, *PROBLEM solving, FUZZY relational equations, INTEGERS, COMPUTATIONAL complexity

Petri net representation and reachability analysis of 0–1 integer linear programming problems.

Autoren: Kodama, Akito Nishi, Tatsushi

Quelle: Information Sciences. Aug2017, Vol. 400/401, p157-172. 16p.

Schlagwörter: *ALGORITHMS, *LINEAR programming, PETRI nets, MATHEMATICAL inequalities, INTEGERS

Energy-delay tradeoff for virtual machine placement in virtualized multi-access edge computing: a two-sided matching approach.

Autoren: Zhang, Long Zhuge, Shanshan Wang, Yao et al.

Quelle: Journal of Ambient Intelligence & Humanized Computing; Jun2023, Vol. 14 Issue 6, p6603-6621, 19p

Control of Autocorrelation of Residuals Using the Fechner Coefficient in a Mathematical Programming Problem for Subset Selection in Linear Regression

Autoren: Mikhail Bazilevskiy

Quelle: System Analysis & Mathematical Modeling. 6:146-158

An Integer Programming Approach to Solving the Inverse Graph Model for Conflict Resolution with Two Decision Makers.

Autoren: Han, Yu Xu, Haiyan Fang, Liping et al.

Quelle: Group Decision & Negotiation; Feb2022, Vol. 31 Issue 1, p23-48, 26p

Schlagwörter: INTEGER programming, CONFLICT management, LINEAR programming, NONLINEAR programming, INVERSE problems

An Online Algorithm for Chance Constrained Resource Allocation

Autoren: Chen, Yuwei Deng, Zengde Zhou, Yinzhi et al.

Index Begriffe: Mathematics - Optimization and Control, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2303.03254

Pruning Pre-trained Language Models with Principled Importance and Self-regularization

Autoren: Ren, Siyu Zhu, Kenny Q.

Index Begriffe: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2305.12394

Identification of linear regression parameters and a mathematical rule for generating values of a dummy variable included in the model

Autoren: M.P. Bazilevskiy

Quelle: Modelling and Data Analysis. 15:139-151

A Storage Resource Collaboration Model Among Edge Nodes in Edge Federation Service.

Autoren: Li, Weimin Li, Qin Chen, Lin et al.

Quelle: IEEE Transactions on Vehicular Technology. Sep2022, Vol. 71 Issue 9, p9212-9224. 13p.

Schlagwörter: *DYNAMIC programming, *EDGE computing, *GREEDY algorithms, *STORAGE, *RESOURCE allocation, *INTEGER programming, *LINEAR programming, *MIXED integer linear programming

Optimization Problem of Constructing Linear Regressions with a Minimum Value of the Mean Absolute Error on Test Sets

Autoren: M.P. Bazilevskiy

Quelle: Modelling and Data Analysis. 14:91-103

SOLVING THE SENSOR COVER ENERGY PROBLEM VIA INTEGER LINEAR PROGRAMMING.

Autoren: PINGKE LI

Quelle: Kybernetika; 2021, Vol. 57 Issue 4, p568-593, 26p

Schlagwörter: INTEGER programming, DETECTORS, WIRELESS communications, COMMUNICATION barriers

Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure.

Autoren: Gagolewski, Marek

Quelle: Journal of Classification; Mar2025, Vol. 42 Issue 1, p2-30, 29p

Schlagwörter: CLUSTERING algorithms, ALGORITHMS

Profit optimized task scheduling for vehicular fog computing.

Autoren: Saleem, Umber Jangsher, Sobia Li, Tong et al.

Quelle: Wireless Networks (10220038); Jan2025, Vol. 31 Issue 1, p759-777, 19p

Schlagwörter: RESOURCE allocation, INCENTIVE (Psychology), EDGE computing, USER charges, NONLINEAR equations

Моделирование тенденций временных рядов со структурными изменениями с помощью многослойных модульных регрессий: Modeling Time Series Trends with Structural Changes using Multilayer Modular Regressions

Quelle: Успехи кибернетики / Russian Journal of Cybernetics. 5:34-41

Построение регрессионных моделей с переключающимися нелинейными преобразованиями для назначенной объясняющей переменной: Construction of regression models with switching nonlinear transformations for the assigned explanatory variable

Quelle: МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ. 13

Revenue maximization for multiple advertisements placement on a web banner using a pixel-price model.

Autoren: Langendoen, Edmar Frasincar, Flavius Riezebos, Mark et al.

Quelle: Annals of Operations Research; Jun2024, Vol. 337 Issue 1, p135-166, 32p

Schlagwörter: GREEDY algorithms, KNAPSACK problems, PARALLEL algorithms, HEURISTIC algorithms, NP-complete problems, INTERNET advertising

An optimal takeout supply system of intelligent self-pickup cabinets: evidence from dining service during COVID-19.

Autoren: Wan, Zhong Wang, Weitong

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Nov2023, Vol. 27 Issue 21, p15999-16018, 20p

Schlagwörter: COVID-19 pandemic, LINEAR programming, NONLINEAR programming, DEMAND function, OPTIMIZATION algorithms, PRICES, INTEGER programming

Multi-UAV Urban Logistics Task Allocation Method Based on MCTS.

Autoren: Ma, Zeyuan Chen, Jing

Quelle: Drones (2504-446X); Nov2023, Vol. 7 Issue 11, p679, 22p

0-1 Integer Linear Programming with a Linear Number of Constraints

Autoren: Impagliazzo, Russell Lovett, Shachar Paturi, Ramamohan et al.

Index Begriffe: cs.CC, cs.DS, publication

URL: https://escholarship.org/uc/item/7j36s8bh
https://escholarship.org/