Suchergebnisse - Inverse multi-objective linear programming

Inverse optimization for multi-objective linear programming

Autoren: Mostafa Naghavi Ali Asghar Foroughi Masoud Zarepisheh

Quelle: Optimization Letters. 13:281-294

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35685276

Inverse Multi-Objective Optimization for Portfolio Allocation in Commercial Banks

Autoren: Albehery, Nagwa Helal, Marwa A. Ghania, Amal F.

Quelle: Statistics, Optimization & Information Computing; Vol 13 No 3 (2025); 977-992 ; 2310-5070 ; 2311-004X

Schlagwörter: Linear programming, Multi-objective linear programming, Inverse optimization, Efficiency, Pareto optimality, Inverse multi-objective linear programming

Dateibeschreibung: application/pdf

Relation: http://www.iapress.org/index.php/soic/article/view/2188/1256; http://www.iapress.org/index.php/soic/article/view/2188

Verfügbarkeit: http://www.iapress.org/index.php/soic/article/view/2188
https://doi.org/10.19139/soic-2310-5070-2188

Optimization of L-PBF Process Parameters: A Multi-Objective Framework for Variance Reduction and Mechanical Strength Enhancement Using Linear Programming and Multi-Objective Methods.

Autoren: Khaimovich, Alexander I. Smelov, Vitaliy G. Kokareva, Viktoriya V. et al.

Quelle: Metals (2075-4701); Sep2025, Vol. 15 Issue 9, p1027, 21p

Schlagwörter: MULTI-objective optimization, LINEAR programming, PROCESS optimization, METAL powders, SELECTIVE laser melting, TENSILE strength, MATHEMATICAL functions

Optimization of L-PBF Process Parameters: A Multi-Objective Framework for Variance Reduction and Mechanical Strength Enhancement Using Linear Programming and Multi-Objective Methods

Autoren: Alexander I. Khaimovich Vitaliy G. Smelov Viktoriya V. Kokareva et al.

Quelle: Metals, Vol 15, Iss 9, p 1027 (2025)

Schlagwörter: laser powder bed fusion, austenitic chromium–nickel–stainless steel, multi-objective optimization, Taguchi method, grey relational analysis, linear programming method, Mining engineering. Metallurgy, TN1-997

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-4701/15/9/1027; https://doaj.org/toc/2075-4701

Zugangs-URL: https://doaj.org/article/cf2d2d3462de42dc9edb3894def740e3

A study on the weight allocation of multi-objective linear programming in the evaluation system of English education.

Autoren: Chen, You

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p5993-6010, 18p

Schlagwörter: ENGLISH language education, LINEAR programming, EDUCATIONAL quality, EFFECTIVE teaching, EDUCATIONAL evaluation

Antibody Library Design by Seeding Linear Programming with Inverse Folding and Protein Language Models

Autoren: Conor F. Hayes Steven A. Magana-Zook Andre Gonçalves et al.

Solving Inverse Optimization Problems in Linear Programming: A Geometric and Algorithmic Approach.

Autoren: Akbari, Z.

Quelle: Caspian Journal of Mathematical Sciences; 2025, Vol. 14 Issue 1, p62-71, 10p

Schlagwörter: GEOMETRIC programming, CONVEX programming, INVERSE problems, RESOURCE allocation, GEOMETRIC approach, QUADRATIC programming

Strategic Planning for Power System Decarbonization Using Mixed-Integer Linear Programming and the William Newman Model.

Autoren: Valdez Castro, Jairo Mateo Aguila Téllez, Alexander

Quelle: Energies (19961073); Sep2025, Vol. 18 Issue 18, p5018, 38p

Schlagwörter: MIXED integer linear programming, CARBON dioxide mitigation, RENEWABLE energy transition (Government policy), STRATEGIC planning, MULTI-objective optimization, ENERGY demand management

A mixed-integer linear programming approach for circular economy-led closed-loop supply chains in green reverse logistics network design under uncertainty.

Autoren: Gharibi, Kazhal Abdollahzadeh, Sohrab

Quelle: Journal of Enterprise Information Management. 2025, Vol. 38 Issue 1, p1-31. 31p.

Schlagwörter: *REVERSE logistics, *CIRCULAR economy, MIXED integer linear programming, CAMERA phones, DATA envelopment analysis, ELECTRONIC waste disposal

On optimistic, pessimistic and mixed fuzzy-programming based approaches to solve multi-objective fully intuitionistic fuzzy linear fractional programming problems.

Autoren: Malik, Manisha Gupta, S. K.

Quelle: Annals of Operations Research; Mar2025, Vol. 346 Issue 2, p1399-1443, 45p

Schlagwörter: FRACTIONAL programming, COMPUTATIONAL mathematics, MATHEMATICAL functions, LINEAR programming, MULTI-objective optimization

Goal programming approach for multi-objective optimization to the transportation problem in uncertain environment using fuzzy non-linear membership functions

Autoren: Md Musa Miah Abdur Rashid Aminur Rahman Khan et al.

Quelle: Journal of Bangladesh Academy of Sciences. 46:101-115

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

An inverse reinforcement learning algorithm with population evolution mechanism for the multi-objective flexible job-shop scheduling problem under time-of-use electricity tariffs.

Autoren: Zhao, Fuqing Wang, Weiyuan Zhu, Ningning et al.

Quelle: Applied Soft Computing. Feb2025, Vol. 170, pN.PAG-N.PAG. 1p.

Schlagwörter: Machine learning, Production scheduling, Optimization algorithms, Electricity pricing, Linear programming

Finding Efficient Solutions in Interval Multi-Objective Linear Programming Models by Uncertainty Theory.

Autoren: Batamiz, A. Hladík, M.

Quelle: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Sep2024, Vol. 32 Issue 6, p923-954, 32p

Schlagwörter: LINEAR programming, MODELS & modelmaking, MODEL theory, VALUATION of real property, ENTROPY

A sphere packing approach to multi-parametric optimization

Autoren: Yadamsuren, Lutbat Vandandoo, Ulziibayar Rentsen, Enkhbat

Quelle: Journal of Institute of Mathematics and Digital Technology; Vol. 6 No. 1 (2024); 31-39 ; 2708-4043 ; 2708-0242

Schlagwörter: Sphere Packing, Multi-Parametric Optimization, Robust Linear Programming, Multi Objective Optimization, Inverse Problems

Dateibeschreibung: application/pdf

Relation: https://www.mongoliajol.info/index.php/JIMDT/article/view/3639/3885; https://www.mongoliajol.info/index.php/JIMDT/article/view/3639

Verfügbarkeit: https://www.mongoliajol.info/index.php/JIMDT/article/view/3639

A Neutrosophic Fixed Charge Multi-Objective 4 Dimensional Multi-item Transportation Problem with Carbon Emission and Budget Constraints.

Autoren: Revathi, A. N. Mohanaselvi, S.

Quelle: Neutrosophic Sets & Systems; 2025, Vol. 78, p553-576, 24p

Schlagwörter: CARBON emissions, GLOBAL warming, LINEAR programming, TIME pressure, FUZZY sets

Goal programming approach for multi-objective optimization to the transportation problem in uncertain environment using fuzzy non-linear membership functions.

Autoren: Miah, Md. Musa Rashid, Abdur Khanm, Aminur Rahman et al.

Quelle: Journal of the Bangladesh Academy of Sciences; Jun2022, Vol. 46 Issue 1, p101-115, 15p

Schlagwörter: NONLINEAR functions, GOAL programming, MEMBERSHIP functions (Fuzzy logic), LINEAR programming, MATHEMATICAL models, PROFIT & loss, GAUSSIAN distribution

Inverse optimization for multi-objective linear programming.

Autoren: Naghavi, Mostafa Foroughi, Ali Asghar Zarepisheh, Masoud

Quelle: Optimization Letters; Mar2019, Vol. 13 Issue 2, p281-294, 14p

Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance.

Autoren: Wu, Zhigang Chen, Chuyue Xu, Danyang et al.

Quelle: Energies (19961073); Apr2025, Vol. 18 Issue 8, p2014, 23p

Schlagwörter: ARTIFICIAL neural networks, RENEWABLE energy sources, MULTI-objective optimization, ECONOMIC efficiency, MICROGRIDS, LINEAR programming

A novel approach for multi-objective linear programming model under spherical fuzzy environment and its application.

Autoren: Yuvashri, Prakash Saraswathi, Appasamy

Quelle: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 2, p3259-3280, 22p

Schlagwörter: LINEAR programming, FUZZY sets, MEMBERSHIP functions (Fuzzy logic), NONLINEAR functions

An iterative approach for the solution of fully fuzzy linear fractional programming problems via fuzzy multi-objective optimization.

Autoren: Bas, Sema Akin Ozkok, Beyza Ahlatcioglu

Quelle: AIMS Mathematics; 2024, Vol. 9 Issue 6, p15361-15384, 24p

Schlagwörter: FRACTIONAL programming, LINEAR programming, MATHEMATICAL optimization, EVOLUTIONARY algorithms, PRODUCTION planning, FUZZY sets, STATISTICS