Výsledky vyhledávání - Binary Quadratic Programming Problem

A Single Deep Neural Network Model for Multiobjective Unconstrained Binary Quadratic Programming Problem

Autoři: Ying Zhou Lingjing Kong Yong Liu a další

Zdroj: International Journal of Cognitive Informatics and Natural Intelligence. 18:1-17

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Method for Large Scale Unconstrained Binary Quadratic Programming Problem Based on Graph Neural Network

Autoři: Jiajia Huang Shenshen Gu

Zdroj: 2024 12th International Conference on Intelligent Control and Information Processing (ICICIP). :144-151

A fast global algorithm for multi-linearly constrained separable binary quadratic program.

Autoři: Qu, Guangtai Li, Shaoze Deng, Zhibin a další

Zdroj: Journal of Industrial & Management Optimization. Feb2025, Vol. 21 Issue 2, p1-18. 18p.

Témata: *PROBLEM solving, *ALGORITHMS, QUADRATIC programming

A pointer network based deep learning algorithm for unconstrained binary quadratic programming problem

Autoři: Tao Hao Shenshen Gu Hanmei Yao

Zdroj: Neurocomputing. 390:1-11

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijon/ijon390.html#GuHY20
https://www.sciencedirect.com/science/article/abs/pii/S0925231220303398

Method and system for solving the Lagrangian dual of a constrained binary quadratic programming problem using a quantum annealer

A Multiobjective Memetic Algorithm for Multiobjective Unconstrained Binary Quadratic Programming Problem

Autoři: Shaopeng Liu Ying Zhou Hong Jiaming a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783030788100

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/swarm/icsi2021-2.html#Zhou0YLH21
https://link.springer.com/chapter/10.1007/978-3-030-78811-7_3

Method and system for solving the lagrangian dual of a constrained binary quadratic programming problem using a quantum annealer

A multi-objective tabu search algorithm based on decomposition for multi-objective unconstrained binary quadratic programming problem

Autoři: Ziyan Wu Keke Wu Jiahai Wang a další

Zdroj: Knowledge-Based Systems. 141:18-30

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/kbs/kbs141.html#ZhouWWW18
https://www.sciencedirect.com/science/article/pii/S0950705117305300

A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem

Autoři: Shi, Jialong Zhang, Qingfu Derbel, Bilel a další

Přispěvatelé: Shi, Jialong Zhang, Qingfu Derbel, Bilel a další

Zdroj: 2017 IEEE Congress on Evolutionary Computation (CEC). :557-564

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 02 engineering and technology, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.archives-ouvertes.fr/hal-01581361/file/shi.cec2017.pdf
https://hal.science/hal-01581361v1
https://hal.archives-ouvertes.fr/hal-01581361/document
https://dblp.uni-trier.de/db/conf/cec/cec2017.html#ShiZDL17
https://hal.archives-ouvertes.fr/hal-01581361
http://dblp.uni-trier.de/db/conf/cec/cec2017.html#ShiZDL17

METHOD AND SYSTEM FOR SOLVING THE LAGRANGIAN DUAL OF A CONSTRAINED BINARY QUADRATIC PROGRAMMING PROBLEM USING A QUANTUM ANNEALER

A Decomposition-Based Multi-Objective Tabu Search Algorithm for Tri-Objective Unconstrained Binary Quadratic Programming Problem

Autoři: Ying Zhou

Zdroj: 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC). :101-107

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/8005780/
https://dblp.uni-trier.de/db/conf/cse/cse2017-1.html#Zhou17
https://ieeexplore.ieee.org/document/8005780/

METHOD AND SYSTEM FOR SOLVING THE LAGRANGIAN DUAL OF A CONSTRAINED BINARY QUADRATIC PROGRAMMING PROBLEM USING A QUANTUM ANNEALER

Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems

Autoři: Jiao Peng Rui Cui Shenshen Gu

Zdroj: Neurocomputing. 198:171-179

Témata: 0211 other engineering and technologies, 02 engineering and technology

Přístupová URL adresa: http://manuscript.elsevier.com/S0925231216003301/pdf/S0925231216003301.pdf
https://www.sciencedirect.com/science/article/pii/S0925231216003301
https://dblp.uni-trier.de/db/journals/ijon/ijon198.html#GuCP16
https://doi.org/10.1016/j.neucom.2015.09.130

Improving a Lagrangian decomposition for the unconstrained binary quadratic programming problem

Autoři: Geraldo Regis Mauri Luiz Antonio Nogueira Lorena

Zdroj: Computers & Operations Research. 39:1577-1581

Témata: Modelling and Simulation, Column generation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Quadratic programming, Management Science and Operations Research, Lagrangian decomposition, Computer Science(all)

Method and system for solving the Lagrangian dual of a constrained binary quadratic programming problem using a quantum annealer

On linearization techniques for budget-constrained binary quadratic programming problems

Autoři: Yong Xia Mei-Jia Yang Hui-Min Zou

Zdroj: Operations Research Letters. 44:702-705

Témata: 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/orl/orl44.html#YangXZ16
http://www.sciencedirect.com/science/article/pii/S0167637716300864
https://www.sciencedirect.com/science/article/pii/S0167637716300864

Solving bi-objective unconstrained binary quadratic programming problem with multi-objective path relinking algorithm

Autoři: Lei Song Mingsheng Shang Yang Wang a další

Zdroj: 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). :289-293

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem

Autoři: Xinyi Chen Shenshen Gu

Zdroj: Lecture Notes in Computer Science ISBN: 9783030041786

Performance of simulated annealing-based heuristic for the unconstrained binary quadratic programming problem

Autoři: Hiroyuki Narihisa Kengo Katayama

Zdroj: European Journal of Operational Research. 134:103-119

Témata: local search, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Boolean programming, heuristics, 02 engineering and technology, large-size problems, Approximation methods and heuristics in mathematical programming

Popis souboru: application/xml

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0377221700002423
http://www.sciencedirect.com/science/article/pii/S0377221700002423
https://dblp.uni-trier.de/db/journals/eor/eor134.html#KatayamaN01
https://econpapers.repec.org/article/eeeejores/v_3a134_3ay_3a2001_3ai_3a1_3ap_3a103-119.htm
https://ideas.repec.org/a/eee/ejores/v134y2001i1p103-119.html

Memetic algorithms for the unconstrained binary quadratic programming problem

Autoři: Kengo Katayama Peter Merz

Zdroj: Biosystems. 78:99-118

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Programming Languages, 02 engineering and technology, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/15555762
https://core.ac.uk/display/21539767
https://www.sciencedirect.com/science/article/pii/S0303264704001376
https://www.ncbi.nlm.nih.gov/pubmed/15555762
http://www.sciencedirect.com/science/article/pii/S0303264704001376