Suchergebnisse - multi-objective mixed (integer OR interier) programming problems

Exact solution algorithms for biobjective mixed integer programming problems.

Autoren: Emre, Deniz Karsu, Özlem Ulus, Firdevs

Quelle: International Transactions in Operational Research. Aug2025, p1. 34p. 14 Illustrations.

Schlagwörter: *MATHEMATICAL optimization, *EMPIRICAL research, *ALGORITHMS, MIXED integer linear programming, MULTI-objective optimization

A compromised multi-objective solution using fuzzy mixed integer goal programming for market-based short-term unit commitment problem

Autoren: Lotfi, MM Ghaderi, SF

Quelle: The Journal of the Operational Research Society, 2014 Jan 01. 65(1), 23-36.

Zugangs-URL: https://www.jstor.org/stable/24502051

Algorithms for generating Pareto fronts of multi-objective integer and mixed-integer programming problems.

Autoren: Burachik, Regina S. Kaya, C. Yalçın Rizvi, Mohammed Mustafa

Quelle: Engineering Optimization. Aug2022, Vol. 54 Issue 8, p1413-1425. 13p.

Schlagwörter: *INTEGER programming, *ALGORITHMS, *INTEGERS, *INJECTORS

An outer approximation algorithm for generating the Edgeworth–Pareto hull of multi-objective mixed-integer linear programming problems

Autoren: Fritz Bökler Sophie N. Parragh Markus Sinnl et al.

Weitere Verfasser: Fritz Bökler Sophie N. Parragh Markus Sinnl et al.

Quelle: Mathematical Methods of Operations Research. 100:263-290

Schlagwörter: Multi-objective optimization, Outer approximation, 0209 industrial biotechnology, ddc:330, 0211 other engineering and technologies, Mixed-integer programming, 02 engineering and technology

Zugangs-URL: https://hdl.handle.net/10419/317040
https://epub.jku.at/id/9526828
https://doi.org/10.1007/s00186-023-00847-8
https://permalink.obvsg.at/ULI/AC17058550

Fuzzy linear programming models for a green logistics center location and allocation problem under mixed uncertainties based on different carbon dioxide emission reduction methods

Autoren: Sun, Y. Lu, Y. Zhang, Cevin

Quelle: Sustainability. 11(22)

Schlagwörter: Carbon dioxide emissions, Carbon tax regulation, Fuzzy chance-constrained programming, Fuzzy linear programming, Fuzzy set theory, Location and allocation problem, Logistics center, Multi-objective optimization, Uncertainties, carbon dioxide, carbon emission, emission control, fuzzy mathematics, linear programing, model, optimization, pollution tax, sensitivity analysis, sustainability, uncertainty analysis

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301496
https://doi.org/10.3390/su11226448

Multi-objective optimization model for routing flexibility and long-term EV sustainability.

Autoren: Hanczar, Paweł Heppner, Izabela

Quelle: Procedia Computer Science. 2025, Vol. 270, p5167-5176. 10p.

Schlagwörter: Multi-objective optimization, Sustainable transportation, Electric capacity, Environmental responsibility, Applied sciences, Resource allocation, Routing (Computer network management), Energy storage

Robust optimization of a bi‑objective tactical resource allocation problem with uncertain qualification costs

Autoren: Fotedar, Sunney Strömberg, Ann-Brith Åblad, Edvin et al.

Quelle: Taktisk resursallokering för effektivt kapacitetsutnyttjande Autonomous Agents and Multi-Agent Systems. 36(2)

Schlagwörter: Decision support system, Robust efficient (RE) solutions, Bi-objective mixed-integer programming, Robust optimization, Capacity planning

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/530941
https://research.chalmers.se/publication/530993
https://research.chalmers.se/publication/530993/file/530993_Fulltext.pdf

Multi Objective Optimization of a Power Distribution System Based on Mixed Integer Programming.

Autoren: Roger, Ndjependa Patrik Teplaira, Boum Alexandre Salomé, Ndjakomo Essiane

Quelle: Journal Européen des Systèmes Automatisés. Feb2020, Vol. 53 Issue 1, p39-46. 8p.

Schlagwörter: Power distribution networks, Electric potential, Mixed integer linear programming, Power transmission, Energy consumption

SASS: slicing with adaptive steps search method for finding the non-dominated points of tri-objective mixed-integer linear programming problems.

Autoren: Rasmi, Seyyed Amir Babak Fattahi, Ali Türkay, Metin

Quelle: Annals of Operations Research. Jan2021, Vol. 296 Issue 1/2, p841-876. 36p.

Schlagwörter: *LINEAR programming, *STATISTICAL decision making, *SUSTAINABLE engineering, *DECISION making, *POINT set theory

SOLVING MULTIOBJECTIVE MIXED INTEGER CONVEX OPTIMIZATION PROBLEMS.

Autoren: DE SANTIS, MARIANNA EICHFELDER, GABRIELE NIEBLING, JULIA et al.

Quelle: SIAM Journal on Optimization. 2020, Vol. 30 Issue 4, p3122-3145. 24p.

Schlagwörter: *INTEGERS, *MATHEMATICAL programming, *MATHEMATICAL optimization, *CONVEX functions, *CONVEX programming, *DETERMINISTIC algorithms

Multi-objective optimization of mixed-model assembly lines incorporating musculoskeletal risks assessment using digital human modeling

Autoren: Nourmohammadi, Amir Ng, Amos H. C. Fathi, Masood et al.

Quelle: CIRP - Journal of Manufacturing Science and Technology. 47:71-85

Schlagwörter: Mixed-model assembly line balancing, Digital human modeling, Musculoskeletal risks, Multi-objective optimization, Mathematical mode, lNSGA-II, Virtual Production Development (VPD), User Centred Product Design, Användarcentrerad produktdesign, VF-KDO

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23240
https://doi.org/10.1016/j.cirpj.2023.09.002

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

Multi-objective optimization of transfer line balancing problem considering cycle time and energy expenditure

Autoren: Petersen, Julian Nourmohammadi, Amir Fathi, Masood et al.

Quelle: ACCURATE PREFER Procedia CIRP. 130:1378-1383

Schlagwörter: Transfer line balancing, energy expenditure, cycle time, mathematical model, multi-objective optimization, Virtual Production Development (VPD)

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-24750
https://doi.org/10.1016/j.procir.2024.10.255

Mobile charging service optimization for electric vehicles.

Autoren: Qiao, Dong Wang, Guangmin Xu, Meng

Quelle: Transportation Letters. Oct2025, Vol. 17 Issue 8, p1375-1389. 15p.

Schlagwörter: Electric vehicles, Electric vehicle charging stations, Multi-objective optimization, Mixed integer linear programming, Vehicle routing problem, Mathematical optimization

Geografische Kategorien: Shenzhen (Guangdong Sheng, China : East), China

CLIP: Centrality-Led ILP Controller Placement for Software-Defined Networking.

Autoren: Ahmed, Md Imtiaz Al Mtawa, Yaser

Quelle: Procedia Computer Science. 2025, Vol. 265, p398-403. 6p.

Schlagwörter: Software-defined networking, Multi-objective optimization, Mathematical programming, Mixed integer linear programming, Electric network topology, Communication network analysis

Multi-objective Design of Sustainable Closed-loop Supply Chain Considering Social Benefits: Metaheuristic Optimization Approaches

Autoren: Hashemzahi, Pooria Mohammadi, Mohammad Atabaki, Mohammad Saeid

Quelle: Journal of Quality Engineering and Production Optimization. 9(1):149-186

Schlagwörter: Multi-objective programming, MOPSO, NSGA-II, Social responsibility, Sustainable closed-loop supply chain design

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55806
https://jqepo.shahed.ac.ir/article_4532.html

An outer approximation algorithm for generating the Edgeworth–Pareto hull of multi-objective mixed-integer linear programming problems.

Autoren: Bökler, Fritz Parragh, Sophie N. Sinnl, Markus et al.

Quelle: Mathematical Methods of Operations Research; Aug2024, Vol. 100 Issue 1, p263-290, 28p

Schlagwörter: LINEAR programming, POLYNOMIAL time algorithms, ALGORITHMS, PROBLEM solving, POLYNOMIALS

Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems

Autoren: Marco Cococcioni Alessandro Cudazzo Massimo Pappalardo et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783030406158

Schlagwörter: Lexicographic optimization, Mixed Integer Linear Programming, Multi-objective optimization, Numerical infinitesimals

Zugangs-URL: https://hdl.handle.net/20.500.11770/303379
https://doi.org/10.1007/978-3-030-40616-5_28

An improved multi-objective programming with augmented ε-constraint method for hazardous waste location-routing problem

Autoren: Yu, Hao Solvang, Wei Deng

Quelle: Yu, H. & Solvang, W.D. (2016). An improved multi-objective programming with augmented ε-constraint method for hazardous waste location-routing problem. International Jo