Search Results - fuzzy multi-objective (interior OR internet) programming ((problem OR problems) OR problems)

Two multi-objective optimization approaches for solving a fuzzy bi-objective distributed hybrid flow shop scheduling problem under uncertainty

Authors: Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses Universitat Politècnica de Catalunya. IA-DAIS - Intelligent Algorithms, Data Analytics & Internet Systems Ghodratnama, Ali et al.

Index Terms: Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Sistemes productius, Hybrid flow shop scheduling, Vehicle routing problem, Fuzzy uncertainty, Expected value, Fuzzy chance-constrained programming, Goal attainment, Article

URL: https://hdl.handle.net/2117/431777
https://link.springer.com/article/10.1007/s13369-025-10238-2
https://link.springer.com/article/10.1007/s13369-025-10238-2

AN EFFICIENT SOLUTION FOR INTERVAL VALUED TRAPEZOIDAL FUZZY BOUNDED VARIABLE PROBLEM AND ITS REAL LIFE APPLICATION.

Authors: YUVASHRI, P. SARASWATHI, A. EDALPATTANAH, S. A.

Source: TWMS Journal of Applied & Engineering Mathematics; 2025, Vol. 15 Issue 6, p1369-1388, 20p

Subject Terms: FUZZY logic, TRAPEZOIDS, CONSTRAINT programming, MATHEMATICS, QUANTITATIVE research, MATHEMATICAL optimization, LINEAR programming

A new efficient approach to tackle multi objective linear fractional problem with flexible constraints.

Authors: Borza, Mojtaba Rambely, Azmin Sham

Source: Journal of Industrial & Management Optimization; Jun2023, Vol. 19 Issue 6, p1-19, 19p

Subject Terms: FRACTIONAL programming, LINEAR programming, FUZZY numbers, MEMBERSHIP functions (Fuzzy logic), GLOBAL optimization

An Efficient Framework for Peer Selection in Dynamic P2P Network Using Q Learning with Fuzzy Linear Programming.

Authors: Anandaraj, Mahalingam Albalawi, Tahani Alkhatib, Mohammad

Source: Journal of Sensor & Actuator Networks; Apr2025, Vol. 14 Issue 2, p38, 33p

Subject Terms: REWARD (Psychology), LINEAR programming, REINFORCEMENT learning, FUZZY logic, PROBLEM solving

Multiobjective linear fractional programming model with equality and inequality constraints under pentagonal intuitionistic fuzzy environment.

Authors: Yuvashri, P. Saraswathi, A.

Source: OPSEARCH; Dec2025, Vol. 62 Issue 4, p1991-2028, 38p

Toward Characterizing Solutions to Complex Programming Problems Involving Fuzzy Parameters in Constraints.

Authors: El-Wahed Khalifa, Hamiden Abd Pamučar, Dragan Edalatpanah, Seyed Ahmad

Source: International Journal of Research in Industrial Engineering (2783-1337); Mar2024, Vol. 13 Issue 1, p62-70, 9p

Subject Terms: COMPUTER programming, CONSTRAINT satisfaction, CONES, FUZZY numbers, SADDLEPOINT approximations, SADDLERY, FUZZY sets

MODELLING OF THE DECISION-MAKING PROCESS OF JOBS PRIORITIES DEFINITION UNDER CONDITIONS OF LIMITED RESOURCES: CASE OF A SERVICE COMPANY.

Alternate Title: РОЗРОБЛЕННЯ МОДЕЛІ УХВАЛЕННЯ РІШЕНЬ ЩОДО ПРІОРИТЕТІВ ВИКОНАННЯ РОБІТ В УМОВАХ ОБМЕЖЕНИХ РЕСУРСІВ ДЛЯ ВИПАДКУ СЕРВІСНОЇ КОМПАНІЇ (Ukrainian)

Authors: OSMAK, Yevhen

Source: Bulletin of the Taras Shevchenko National University of Kyiv. Physics & Mathematics; 2025, Vol. 80 Issue 1, p139-143, 5p

Subject Terms: PRODUCTION scheduling, DECISION making, INTEGER programming, FUZZY logic, SERVICE industries, LINEAR programming

Solving Convex Multi-Objective Optimization Problems via a Capable Neural Network Scheme.

Authors: Jahangiri, Mohammadreza Nazemi, Alireza

Source: International Journal of Computational Intelligence & Applications; Dec2024, Vol. 23 Issue 4, p1-23, 23p

Subject Terms: CONVEX programming, PARETO optimum, COMPUTER simulation

MOSO: multi-objective snake optimizer with density estimation and grid indexing mechanism for edge computing task offloading and scheduling optimization.

Authors: Zhang, Shi-Hui Wang, Jie-Sheng Zhang, Si-Wen et al.

Source: Cluster Computing; Aug2025, Vol. 28 Issue 4, p1-31, 31p

Subject Terms: COMPUTATIONAL mathematics, MULTI-objective optimization, EDGE computing, MATHEMATICAL optimization, ENERGY consumption

Designing a Sustainable Closed-Loop Logistics Network Considering the Multi-Mode Demand in Uncertain Environment

Authors: Ali Mahmoodirad Ali Tahmasebi Notareki Sadegh Niroomand

Source: Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 21, Iss 68, Pp 197-240 (2023)

Subject Terms: closed loop supply chain network design, trapezoidal intuitionistic fuzzy numbers, interactive fuzzy mathematical programming, multi-objective problem, Industrial engineering. Management engineering, T55.4-60.8

File Description: electronic resource

Relation: https://jims.atu.ac.ir/article_15745_057d55e0f1d90eec2614084e48eb4154.pdf; https://doaj.org/toc/2251-8029; https://doaj.org/toc/2476-602X

Access URL: https://doaj.org/article/f8febb07c4f84730b5c00c94069d288d

Fuzzy random classical and inverse median location problems.

Authors: Taghikhani, Sepideh Baroughi, Fahimeh

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jul2023, Vol. 27 Issue 13, p8821-8839, 19p

Subject Terms: LOCATION problems (Programming), FUZZY graphs

An algorithm to solve multi-objective integer quadratic programming problem.

Authors: Kushwah, Prerna Sharma, Vikas

Source: Annals of Operations Research; Jan2024, Vol. 332 Issue 1-3, p433-459, 27p

Subject Terms: INTEGER programming, QUADRATIC programming, LINEAR programming, ALGORITHMS

An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times.

Authors: Jiménez Tovar, Mary Acevedo-Chedid, Jaime Ospina-Mateus, Holman et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jan2024, Vol. 28 Issue 2, p1459-1489, 31p

Subject Terms: OPTIMIZATION algorithms, METAHEURISTIC algorithms, JOB shops, PRODUCTION scheduling, COMBINATORIAL optimization, PRODUCTION engineering, FLOW shops

Multi-agent cooperative multi-network group framework for energy-efficient distributed fuzzy flexible job shop scheduling problem.

Authors: Zhang, Zi-Qi Li, Xiao-Wei Qian, Bin et al.

Source: Applied Soft Computing. Sep2025, Vol. 181, pN.PAG-N.PAG. 1p.

Subject Terms: Energy consumption, Scheduling, Multiagent systems, Production scheduling, Cyber physical systems, Reinforcement learning, Flexible manufacturing systems

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

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

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

Subject Terms: INTEGER programming, ALGORITHMS, INTEGERS, INJECTORS

Solving general convex quadratic multi-objective optimization problems via a projection neurodynamic model.

Authors: Jahangiri, Mohammadreza Nazemi, Alireza

Source: Cognitive Neurodynamics; Aug2024, Vol. 18 Issue 4, p2095-2110, 16p

First and second order necessary optimality conditions for multiobjective programming with interval-valued objective functions on Riemannian manifolds.

Authors: Bhat, Hilal Ahmad Iqbal, Akhlad Aftab, Mahwash

Source: RAIRO: Operations Research (2804-7303); 2024, Vol. 58 Issue 5, p4259-4276, 18p

Subject Terms: RIEMANNIAN manifolds, DECISION making, SET-valued maps

Optimizing Commercial Teams and Territory Design Using a Mathematical Model Based on Clients' Values: A Case Study in Canada.

Authors: Carvalho, Ana Miguel Lopes, Cristina Cruz, Manuel et al.

Source: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 18, p2940, 16p

Subject Terms: KEY performance indicators (Management), LINEAR programming, ANALYTIC hierarchy process, MARKET segmentation, MATHEMATICAL models, SALES personnel, COST effectiveness

Geographic Terms: CANADA

Efficient algorithm for globally computing the min–max linear fractional programming problem.

Authors: Jiao, Hongwei Wang, Wenjie Ge, Li et al.

Source: RAIRO: Operations Research (2804-7303); 2023, Vol. 57 Issue 3, p1523-1537, 15p

Subject Terms: FRACTIONAL programming, ALGORITHMS, OUTER space, COMPUTATIONAL complexity, RELAXATION methods (Mathematics), GLOBAL optimization, LINEAR programming

Some results for the minimal optimal solution of min-max programming problem with addition-min fuzzy relational inequalities.

Authors: Wu, Yan-Kuen Wen, Ching-Feng Hsu, Yuan-Teng et al.

Source: Fuzzy Optimization & Decision Making; Sep2022, Vol. 21 Issue 3, p429-454, 26p

Subject Terms: DOWNLOADING, DATA transmission systems, FUZZY systems