Výsledky vyhľadávania - Multi-objective unconstrained binary quadratic programming problem

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

Autori: Ziyan Wu Keke Wu Jiahai Wang a ďalší

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

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

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

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

Autori: 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

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

Prístupová 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/

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

Autori: Lei Song Mingsheng Shang Yang Wang a ďalší

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

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

A directional-biased tabu search algorithm for multi-objective unconstrained binary quadratic programming problem

Autori: Jian Yin Jiahai Wang Ying Zhou

Zdroj: 2013 Sixth International Conference on Advanced Computational Intelligence (ICACI). :281-286

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

Prístupová URL adresa: https://ieeexplore.ieee.org/document/6748517/
http://ieeexplore.ieee.org/document/6748517/

Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm

Autori: Rong-Qiang Zeng Mingsheng Shang Li-Yuan Xue a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783319422930

Prístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-3-319-42294-7_66
https://dblp.uni-trier.de/db/conf/icic/icic2016-2.html#XueZWS16
https://doi.org/10.1007/978-3-319-42294-7_66
https://link.springer.com/chapter/10.1007%2F978-3-319-42294-7_66
https://link.springer.com/chapter/10.1007/978-3-319-42294-7_66/fulltext.html

Ensemble of multi-objective metaheuristic algorithms for multi-objective unconstrained binary quadratic programming problem

Autori: Ying Zhou Yiqiao Cai Lingjing Kong a ďalší

Zdroj: Applied Soft Computing. 81:105485

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

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/asc/asc81.html#ZhouKWLCL19
https://www.sciencedirect.com/science/article/pii/S1568494619302558
https://doi.org/10.1016/j.asoc.2019.105485

An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem

Autori: Ming-Sheng Shang Rong-Qiang Zeng Chao Huo a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783319462561

Prístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-3-319-46257-8_7
https://doi.org/10.1007/978-3-319-46257-8_7
https://link.springer.com/chapter/10.1007%2F978-3-319-46257-8_7

A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem

Autori: Yang Wang Chao Huo Rong-Qiang Zeng a ďalší

Zdroj: Communications in Computer and Information Science ISBN: 9789811036132

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/bic-ta/bic-ta2016-2.html#HuoZWS16
https://link.springer.com/10.1007/978-981-10-3614-9_2
https://link.springer.com/chapter/10.1007/978-981-10-3614-9_2
https://rd.springer.com/chapter/10.1007/978-981-10-3614-9_2

Experiments on Neighborhood Combination Strategies for Bi-objective Unconstrained Binary Quadratic Programming Problem

Autori: Qing-Xian Wang Wei An Mingsheng Shang a ďalší

Zdroj: Communications in Computer and Information Science ISBN: 9789811064418

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-981-10-6442-5_42
https://rd.springer.com/chapter/10.1007/978-981-10-6442-5_42

Ensemble of multi-objective metaheuristic algorithms for multi-objective unconstrained binary quadratic programming problem.

Autori: Zhou, Ying Kong, Lingjing Wu, Ziyan a ďalší

Zdroj: Applied Soft Computing. Aug2019, Vol. 81, p105485-105485. 1p.

Predmety: Metaheuristic algorithms, Quadratic programming, Combinatorial optimization, Mathematical optimization, NP-hard problems, Searching behavior

Diversifying Investments and Maximizing Sharpe Ratio: A Novel Quadratic Unconstrained Binary Optimization Formulation

Autori: Mirko Mattesi Luca Asproni Christian Mattia a ďalší

Zdroj: Quantum Reports, Vol 6, Iss 2, Pp 244-262 (2024)

Predmety: portfolio optimization, quantum annealing, QUBO, quantum computing, Sharpe Ratio, diversification, Physics, QC1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2624-960X/6/2/18; https://doaj.org/toc/2624-960X

Prístupová URL adresa: https://doaj.org/article/dc28298c864d48c9a28670d84293fb6e

Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm.

Autori: Xue, Li-Yuan Zeng, Rong-Qiang Wang, Yang a ďalší

Zdroj: Intelligent Computing Theories & Application: 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II; 2016, p745-753, 9p

An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem.

Autori: Huo, Chao Zeng, Rong-Qiang Wang, Yang a ďalší

Zdroj: Intelligent Data Engineering & Automated Learning - IDEAL 2016; 2016, p58-67, 10p

A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem.

Autori: Huo, Chao Zeng, Rongqiang Wang, Yang a ďalší

Zdroj: Bio-inspired Computing - Theories & Applications: 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II; 2016, p10-19, 10p

A directional-biased tabu search algorithm for multi-objective unconstrained binary quadratic programming problem.

Autori: Zhou, Ying Wang, Jiahai Yin, Jian

Zdroj: 2013 Sixth International Conference on Advanced Computational Intelligence (ICACI); 2013, p281-286, 6p

Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming.

Autori: Souza, Murilo Zangari de Pozo, Aurora Trinidad Ramirez

Zdroj: 2015 Brazilian Conference on Intelligent Systems (BRACIS); 2015, p86-91, 6p

Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming.

Autori: Liefooghe, Arnaud Verel, Sébastien Paquete, Luís a ďalší

Zdroj: Evolutionary Multi-Criterion Optimization 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I; 2015, p171-186, 16p

Diversifying Investments and Maximizing Sharpe Ratio: A Novel Quadratic Unconstrained Binary Optimization Formulation.

Autori: Mattesi, Mirko Asproni, Luca Mattia, Christian a ďalší

Zdroj: Quantum Reports; Jun2024, Vol. 6 Issue 2, p244-262, 19p

Predmety: SHARPE ratio, QUANTUM annealing, PORTFOLIO performance, FINANCIAL economics, PORTFOLIO diversification, LINEAR programming

Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions.

Autori: Derbel, Bilel Pruvost, Geoffrey Liefooghe, Arnaud a ďalší

Zdroj: Applied Soft Computing. Mar2023, Vol. 136, pN.PAG-N.PAG. 1p.

Predmety: Combinatorial optimization, Quadratic programming, Benchmark problems (Computer science), Landscape design, Bilevel programming

Applying Ising Machines to Multi-objective QUBOs

Autori: Ayodele, Mayowa Allmendinger, Richard López-Ibáñez, Manuel a ďalší

Témy: Computer Science - Artificial Intelligence, Quantum Physics, G.1.6, text

URL: http://arxiv.org/abs/2305.11648