Suchergebnisse - Multi-objective interior programming

A nonmonton active interior point trust region algorithm based on CHKS smoothing function for solving nonlinear bilevel programming problems

Autoren: B. El-Sobky Y. Abo-Elnaga G. Ashry et al.

Quelle: AIMS Mathematics, Vol 9, Iss 3, Pp 6528-6554 (2024)

Schlagwörter: Bilevel Programming, Bilevel optimization, Geometry, Evolutionary biology, Fixed-Point Problems, 01 natural sciences, Quantum mechanics, Multi-Objective Transportation Problem Optimization, Engineering, Interior-Point Methods, Point (geometry), Nonlinear programming, Computer security, nonmonton trust-region, chks smoothing function, QA1-939, FOS: Mathematics, Interior point method, active-set, interior-point, 0101 mathematics, Optimization problem, Biology, nonlinear bilevel problem, Numerical Analysis, Nonlinear Programming, Numerical Optimization Techniques, RADIUS, Physics, Mathematical optimization, Iterative Algorithms for Nonlinear Operators and Optimization, Computer science, Algorithm, Computational Theory and Mathematics, Control and Systems Engineering, Function (biology), Computer Science, Physical Sciences, Nonlinear system, Computer vision, Mathematics, Mixed-Integer Nonlinear Programs, Smoothing, Trust region

Zugangs-URL: https://doaj.org/article/43e429785294454eb58a97ddb66aaec0

A Non-Archimedean Interior Point Method and Its Application to the Lexicographic Multi-Objective Quadratic Programming

Autoren: Lorenzo Fiaschi Marco Cococcioni

Quelle: Mathematics, Vol 10, Iss 23, p 4536 (2022)

Schlagwörter: quadratic programming, interior point methods, lexicographic multi-objective optimization, non-standard analysis, infinite/infinitesimal numbers, non-Archimedean scientific computing, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/10/23/4536; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/4364e931928a48d98010c5f2c16e4194

Exact Mixed-Integer Nonlinear Programming Formulation for Conductor Size Selection in Balanced Distribution Networks: Single and Multi-Objective Analyses

Autoren: Oscar Danilo Montoya Luis Fernando Grisales-Noreña Oscar David Florez-Cediel

Quelle: Electricity ; Volume 6 ; Issue 1 ; Pages: 14

Schlagwörter: optimal conductor selection, exact MINLP formulation, interior-point method, branch-and-bound algorithm, radial distribution networks, investment and operational costs, single- and multi-objective optimization

Dateibeschreibung: application/pdf

Relation: https://dx.doi.org/10.3390/electricity6010014

Verfügbarkeit: https://doi.org/10.3390/electricity6010014

A Non-Archimedean Interior Point Method for Solving Lexicographic Multi-Objective Quadratic Programming Problems

Autoren: Fiaschi, Lorenzo Cococcioni, Marco

Schlagwörter: Optimization and Control (math.OC), 90C20, 90C51, 90-08, 03H10, FOS: Mathematics, Mathematics - Optimization and Control

Zugangs-URL: http://arxiv.org/abs/2110.15658

Robustness in deterministic multi-objective linear programming with respect to the relative interior and angle deviation

Autoren: Majid Soleimani-damaneh Latif Pourkarimi

Quelle: Optimization. 65:1983-2005

Schlagwörter: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Zugangs-URL: https://www.tandfonline.com/doi/full/10.1080/02331934.2016.1195384

Multi-objective optimization and seismic response analysis of concrete interlayer seismic isolation technology in prefabricated building.

Autoren: Wang, Wenjing

Quelle: Journal of Computational Methods in Sciences & Engineering; Nov2024, Vol. 24 Issue 6, p3381-3393, 13p

Schlagwörter: CONCRETE construction, MULTI-objective optimization, OPTIMIZATION algorithms, PREFABRICATED buildings, SEISMIC response, INTERIOR-point methods, QUADRATIC programming

The Aggregate Homotopy Interior-Point Method for a Class of Multi-Objective Programming Problems

Autoren: Jia-qi Zhao Xiao-gang Dong Qing-huai Liu et al.

Quelle: 2010 2nd International Conference on Information Engineering and Computer Science. :1-4

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

Zugangs-URL: http://ieeexplore.ieee.org/document/5677798/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005677798

基于SA-PSO 混合算法的枪弹全弹道多目标优化方法研究. (Chinese)

Alternate Title: Research on multi-objective optimization method for bullet full trajectory based on SA-PSO hybrid algorithm. (English)

Autoren: 胡振超 崔啸 许啸 et al.

Quelle: Command Control & Simulation / Zhihui Kongzhi yu Fangzhen; Aug2025, Vol. 47 Issue 4, p149-155, 7p

Schlagwörter: MULTI-objective optimization, PARTICLE swarm optimization, MATHEMATICAL programming, KINETIC energy, TRAJECTORIES (Mechanics), TRAJECTORY optimization

A Non-Archimedean Interior Point Method and Its Application to the Lexicographic Multi-Objective Quadratic Programming.

Autoren: Fiaschi, Lorenzo Cococcioni, Marco

Quelle: Mathematics (2227-7390); Dec2022, Vol. 10 Issue 23, p4536, 34p

Schlagwörter: INTERIOR-point methods, QUADRATIC programming, POLYNOMIAL time algorithms, NONSTANDARD mathematical analysis

A WIN-WIN Approach to Multiple Objective Linear Programming Problems

Autoren: Junior, H. V. Lins, M. P. E.

Quelle: The Journal of the Operational Research Society, 2009 May 01. 60(5), 728-733.

Zugangs-URL: https://www.jstor.org/stable/40206789

A globally convergent primal-dual interior-point filter method for nonlinear programming

Autoren: Ulbrich, Michael Ulbrich, Stefan Vicente, Luís N.

Quelle: Mathematical Programming. 100:379-410

Schlagwörter: Numerical mathematical programming methods, Nonlinear programming, interior-point methods, nonlinear programming, 0211 other engineering and technologies, Interior-point methods, 02 engineering and technology, 0101 mathematics, 01 natural sciences, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: https://estudogeral.sib.uc.pt/bitstream/10316/7764/1/obra.pdf
https://hdl.handle.net/10316/7764

An interior-point approach for solving MC2 linear programming problems: An interior-point approach for solving MC\(^2\) linear programming problems

Autoren: Yong Shi Yihua Zhong

Quelle: Mathematical and Computer Modelling. 34:411-422

Schlagwörter: interior-point method, potential solution, efficient solution, Modelling and Simulation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Interior-point methods, 02 engineering and technology, Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.), \(text{MC}^2\) linear programming, Multi-objective and goal programming, Computer Science Applications

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/1643037
https://doi.org/10.1016/s0895-7177(01)00072-3
https://dl.acm.org/doi/10.1016/S0895-7177%2801%2900072-3
https://www.sciencedirect.com/science/article/abs/pii/S0895717701000723
https://www.sciencedirect.com/science/article/pii/S0895717701000723

Smith chart-based PSO algorithm for multi-objective engineering problems

Autoren: Abdelbari Falloun Yunus Dursun Ufuk Özkaya et al.

Schlagwörter: Convex Optimization, Economics, Geometry, Set (abstract data type), Interior-Point Methods, Engineering, Artificial Intelligence, FOS: Mathematics, Chart, Swarm Intelligence Optimization Algorithms, Economic growth, Impedance matching, Numerical Analysis, Position (finance), Numerical Optimization Techniques, Multi-Objective Optimization, Particle swarm optimization, Optimization Applications, Mathematical optimization, Statistics, Computer science, Programming language, Regular polygon, Algorithm, Electrical impedance, Computational Theory and Mathematics, Particle Swarm Optimization, Electrical engineering, Computer Science, Physical Sciences, Convergence (economics), Smith chart, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Finance

A primal-dual infeasible-interior-point algorithm for multiple objective linear programming problems

Autoren: Yuan Yuan Huang Hui Fei Pu-sheng

Quelle: Wuhan University Journal of Natural Sciences. 10:351-354

Schlagwörter: multiple objective linear programming, infeasible-interior-point algorithm, primal-dual, primaldual, 0211 other engineering and technologies, Interior-point methods, 02 engineering and technology, Optimality conditions and duality in mathematical programming, 0101 mathematics, 01 natural sciences, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: https://rd.springer.com/article/10.1007/BF02830664
https://link.springer.com/article/10.1007%2FBF02830664

Branch and price: Integer programming with column generation; Decomposition techniques for MILP: Lagrangian relaxation; Genetic algorithms; Integer linear complementary problem; Integer programming; Integer programming: Algebraic methods; Integer programming: Branch and cut algorithms; Integer programming: Cutting plane algorithms; Integer programming duality; Integer programming: Lagrangian relaxation; LCP: Pardalos–Rosen mixed integer formulation, Linear programming; Interior point methods; Mixed integer classification problems; Multi-objective integer linear programming; Multi-objective mixed integer programming; Multiparametric mixed integer linear programming; Parametric mixed integer nonlinear optimization; Set covering, packing and partitioning problems; Simplicial pivoting algorithms for integer programming; Stochastic integer programming: Continuity, stability, rates of convergence; Stochastic integer programs; Time-dependent traveling salesman problem INTEGER PROGRAMMING: BRANCH AND BOUND METHODS: branch and bound

Autoren: Eva K. Lee John E. Mitchell

Quelle: Encyclopedia of Optimization ISBN: 9780792369325

An Interior Multiple Objective Primal-dual Linear Programming Algorithm Using Efficient Anchoring Points: An interior multiple objective primal-dual linear programming algorithm using efficient anchoring points

Autoren: Ami Arbel

Quelle: Journal of the Operational Research Society. 46:1121-1132

Schlagwörter: interior-point linear programming, interior multiple objective linear programming, Linear programming, Karmarkar's algorithm, path-following primal-dual algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, multicriteria decision making, 02 engineering and technology, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/834661
https://doi.org/10.1057/jors.1995.156
https://link.springer.com/article/10.1057/jors.1995.156

An interactive interior point algorithm for multiobjective linear programming problems

Autoren: T. Ouaderhman Brahim Aghezzaf

Quelle: Operations Research Letters. 29:163-170

Schlagwörter: multiple objective linear programming, compromise solution, 0211 other engineering and technologies, Interior-point methods, 02 engineering and technology, interactive interior point method, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: https://dblp.uni-trier.de/db/journals/orl/orl29.html#AghezzafO01
https://doi.org/10.1016/S0167-6377(01)00089-X
https://www.sciencedirect.com/science/article/abs/pii/S016763770100089X

Using Efficient Anchoring Points for Generating Search Directions in Interior Multiobjective Linear Programming: Using efficient anchoring points for generating search directions in interior multiobjective linear programming

Autoren: Ami Arbel

Quelle: Journal of the Operational Research Society. 45:330-344

Schlagwörter: affine-scaling primal algorithm, Linear programming, interior-point methods, projected gradients, 0211 other engineering and technologies, multicriteria decision making, 02 engineering and technology, multiobjective linear programming, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/550209
https://doi.org/10.1057/jors.1994.46
https://link.springer.com/content/pdf/10.1057%2Fjors.1994.46.pdf
https://link.springer.com/article/10.1057%2Fjors.1994.46
https://www.tandfonline.com/doi/abs/10.1057/jors.1994.46

Anchoring Points and Cones of Opportunities in Interior Multiobjective Linear Programming: Anchoring points and cones of opportunities in interior multiobjective linear programming

Autoren: Ami Arbel

Quelle: Journal of the Operational Research Society. 45:83-96

Schlagwörter: affine-scaling primal algorithm, 0209 industrial biotechnology, interior-point linear programming, Linear programming, 0211 other engineering and technologies, multicriteria decision making, 02 engineering and technology, multiobjective linear programming, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: https://link.springer.com/article/10.1057/jors.1994.9
https://www.jstor.org/stable/2583953
https://link.springer.com/content/pdf/10.1057%2Fjors.1994.9.pdf
https://www.tandfonline.com/doi/abs/10.1057/jors.1994.9

Control vector iteration; Duality in optimal control with first order differential equations; Dynamic programming and Newton's method in unconstrained optimal control; Dynamic programming: Average cost per stage problems; Dynamic programming: Continuous-time optimal control; Dynamic programming: Discounted problems; Dynamic programming in clustering, Dynamic programming: Infinite horizon problems, overview; Dynamic programming: Inventory control; Dynamic programming: Optimal control applications; Dynamic programming: Stochastic shortest path problems; Dynamic programming: Undiscounted problems; High-order maximum principle for abnormal extremals; Infinite horizon control and dynamic games; MINLP: Applications in the interaction of design and control; Multi-objective optimization: Interaction of design and control; Multiple objective dynamic programming; Neurodynamic programming; Optimal control of a flexible arm; Optimization strategies for dynamic systems; Pontryagin maximum principle; Robust control; Robust control: Schur stability of polytopes of polynomials; Semi-infinite programming and control problems; Sequential quadratic programming: Interior point methods for distributed optimal control problems; Suboptimal control HAMILTON-JACOBI-BELLMAN EQUATION

Autoren: William R. Esposito

Quelle: Encyclopedia of Optimization ISBN: 9780792369325