Suchergebnisse - multi-objective unconstrained binary quadratic programming problems~

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

Autoren: Zhou, Ying Wang, Jiahai Wu, Ziyan et al.

Quelle: Knowledge-Based Systems. Feb2018, Vol. 141, p18-30. 13p.

Schlagwörter: *TABU search algorithm, *NP-hard problems, *PARETO analysis, *QUADRATIC programming, *MATHEMATICAL decomposition, *COMPUTATIONAL complexity

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

Autoren: Mirko Mattesi Luca Asproni Christian Mattia et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/dc28298c864d48c9a28670d84293fb6e

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

Autoren: Xue, Li-Yuan Zeng, Rong-Qiang Wang, Yang et al.

Quelle: 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.

Autoren: Huo, Chao Zeng, Rong-Qiang Wang, Yang et al.

Quelle: 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.

Autoren: Huo, Chao Zeng, Rongqiang Wang, Yang et al.

Quelle: 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.

Autoren: Zhou, Ying Wang, Jiahai Yin, Jian

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

Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming.

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

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

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

Autoren: Liefooghe, Arnaud Verel, Sébastien Paquete, Luís et al.

Quelle: 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.

Autoren: Mattesi, Mirko Asproni, Luca Mattia, Christian et al.

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

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

Comprehensive review on twin support vector machines.

Autoren: Tanveer, M. Rajani, T. Rastogi, R. et al.

Quelle: Annals of Operations Research; Aug2024, Vol. 339 Issue 3, p1223-1268, 46p

Schlagwörter: SUPPORT vector machines, QUADRATIC programming, MACHINE learning, HYPERPLANES, RESEARCH methodology

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

Autoren: Derbel, Bilel Pruvost, Geoffrey Liefooghe, Arnaud et al.

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

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

Applying Ising Machines to Multi-objective QUBOs

Autoren: Ayodele, Mayowa Allmendinger, Richard López-Ibáñez, Manuel et al.

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

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

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

Autoren: Zhou, Ying Kong, Lingjing Wu, Ziyan et al.

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

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

GRAPH BISECTION MODELED AS CARDINALITY CONSTRAINED BINARY QUADRATIC TASK ALLOCATION.

Autoren: LEWIS, MARK KOCHENBERGER, GARY

Quelle: International Journal of Information Technology & Decision Making; Mar2013, Vol. 12 Issue 2, p261-276, 16p, 8 Charts

Schlagwörter: BISECTORS (Geometry), QUADRATIC programming, GRAPH theory, HEURISTIC algorithms, PARALLEL algorithms

Sequential hierarchical least-squares programming for prioritized non-linear optimal control.

Autoren: Pfeiffer, Kai Kheddar, Abderrahmane

Quelle: Optimization Methods & Software; Oct2024, Vol. 39 Issue 5, p1104-1142, 39p

Schlagwörter: INTERIOR-point methods, QUADRATIC programming, INVERSE problems, ALGORITHMS, MATRICES (Mathematics)

Multi-objective genetic algorithm based on the fuzzy MULTIMOORA method for solving the cardinality constrained portfolio optimization.

Autoren: Deliktaş, Derya Ustun, Ozden

Quelle: Applied Intelligence; Jun2023, Vol. 53 Issue 12, p14717-14743, 27p

Schlagwörter: PORTFOLIO management (Investments), FUZZY algorithms, GENETIC algorithms, NP-complete problems, QUADRATIC programming, PROBLEM solving, FUZZY neural networks, STANDARD deviations

Meta-heuristics for portfolio optimization.

Autoren: Erwin, Kyle Engelbrecht, Andries

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Dec2023, Vol. 27 Issue 24, p19045-19073, 29p

Schlagwörter: SWARM intelligence, QUADRATIC programming, RESEARCH personnel, COMPUTER science, RESEARCH funding, EVOLUTIONARY algorithms

Synthesis of combined shielding system for overhead power lines magnetic field normalization in residential building space.

Autoren: Kuznetsov, B. I. Nikitina, T. B. Bovdui, I. V. et al.

Quelle: Electrical Engineering & Electromechanics; 2025, Issue 6, p40-50, 11p

Schlagwörter: MAGNETIC fields, MAGNETIC shielding, HOUSE construction, OPTIMIZATION algorithms, SAFETY standards, OVERHEAD electric lines, SIMULATION software

People: MAXWELL, James Clerk, 1831-1879

Differential Evolution with Secondary Mutation Strategies for Long-Term Search.

Autoren: Peng, Jianyi Chen, Gang

Quelle: Algorithms; Nov2025, Vol. 18 Issue 11, p683, 23p

Schlagwörter: DIFFERENTIAL evolution, EVOLUTIONARY computation, MATHEMATICAL programming, QUADRATIC programming, EVOLUTIONARY algorithms, MATHEMATICAL optimization

Multi-Objective Portfolio Optimization Using a Quantum Annealer.

Autoren: Aguilera, Esteban de Jong, Jins Phillipson, Frank et al.

Quelle: Mathematics (2227-7390); May2024, Vol. 12 Issue 9, p1291, 18p

Schlagwörter: PORTFOLIO management (Investments), QUANTUM annealing, QUANTUM computing, OPTIMIZATION algorithms, SIMULATED annealing, LOANS