Suchergebnisse - multi-objective linear rational programming problem*

Alternative rational technique to compute multi-objective linear programming problems

Autoren: baraat sulayman Basim A. Hassan Abbas Y. Al-Bayati

Quelle: مجلة التربية والعلم, Vol 25, Iss 3, Pp 180-190 (2012)

Schlagwörter: Q1-390, Science (General), rational technique, multi-objective linear, alternative, programming problems, Education

Zugangs-URL: https://edusj.mosuljournals.com/article_59204_4a3bea82499f16deba600162b643268f.pdf
https://doaj.org/article/5d997b3b57f84ed2b85df4a7a2bab3cd

A Multi-Objective Artificial Bee Colony Algorithm Incorporating Q-Learning Search for the Flexible Job Shop Scheduling Problems with Multi-Type Automated Guided Vehicles.

Autoren: Ge, Shihong Zhang, Hao Xu, Zhigang et al.

Quelle: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p10948, 29p

Schlagwörter: PRODUCTION scheduling, AUTOMATED guided vehicle systems, MULTI-objective optimization, ENERGY consumption, MANUFACTURING industries, MIXED integer linear programming, REINFORCEMENT learning, BEES algorithm

A new exact solution method for bi-level linear fractional problems with multi-valued optimal reaction maps.

Autoren: Feleke, F.Y. Kassa, S.M.

Quelle: Iranian Journal of Numerical Analysis & Optimization; 2025, Vol. 15 Issue 4, p1392-1419, 28p

Schlagwörter: BILEVEL programming, BRANCH & bound algorithms, MATHEMATICAL analysis, CONSTRAINT satisfaction, FRACTIONAL programming

Robust fresh front distribution centre location problem considering resilience under demand uncertainty.

Autoren: Wang, Qiuhan Pu, Xujin Du, Bo et al.

Quelle: International Journal of Production Research; Sep2025, Vol. 63 Issue 17, p6384-6410, 27p

Schlagwörter: LOCATION problems (Programming), ROBUST optimization, PERISHABLE goods, DISASTER resilience, WAREHOUSES, MIXED integer linear programming, COST control, UNCERTAINTY (Information theory)

Geografische Kategorien: WUXI (Jiangsu Sheng, China), CHINA

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

Sensitivity Analysis of the Cost Coefficients in Multiobjective Integer Linear Optimization.

Autoren: Andersen, Kim Allan Boomsma, Trine Krogh Efkes, Britta et al.

Quelle: Management Science; Feb2025, Vol. 71 Issue 2, p1120-1137, 18p

Schlagwörter: LINEAR programming, MULTI-objective optimization, KNAPSACK problems, INTEGER programming, CONVEX sets

A Two-Stage Multi-Objective Evolutionary Algorithm for the Dual-Resource Constrained Flexible Job Shop Scheduling Problem with Variable Sublots.

Autoren: Huang, Zekun Guo, Shunsheng Zhang, Jinbo et al.

Quelle: Processes; Feb2025, Vol. 13 Issue 2, p487, 28p

Schlagwörter: PRODUCTION scheduling, DIFFERENTIAL evolution, LINEAR programming, PROBLEM solving, ALGORITHMS, SIMULATED annealing, EVOLUTIONARY algorithms

Optimization of Multi-Currency Deposit Structure by Two Indicators (Income and Risk) under Uncertainty.

Autoren: Molostvov, Vitaly S.

Quelle: Advances in Systems Science & Applications; 2025, Vol. 25 Issue 1, p1-11, 11p

Schlagwörter: MULTI-objective optimization, BASIC income, LINEAR programming, FINANCIAL management, LINEAR systems

Analysis on Interval‐Valued Fermatean Fractional Fuzzy Solid Transportation Problem With Goal Programming Approach.

Autoren: Anukokila, P. Pushpalatha, N. Radhakrishnan, B. et al.

Quelle: Journal of Mathematics; 11/23/2025, Vol. 2025, p1-25, 25p

Schlagwörter: GOAL programming, FUZZY numbers, PARETO optimum, TRANSPORTATION problems (Programming), MULTI-objective optimization, COST

Solution of a bi-level linear programming problem with uncertain parameters and its application.

Autoren: Bhurjee, Ajay Kumar Kumar, Pankaj Kumar, Pavan

Quelle: Operations Research & Decisions; 2025, Vol. 35 Issue 2, p1-22, 22p

Schlagwörter: NONLINEAR programming, LINEAR programming, SUPPLY chain disruptions, INTERVAL analysis, NONLINEAR equations

A Priority-Based Multiobjective Optimization Framework for Fair Profit Allocation in Cooperative Systems of Cross-Border E-Commerce Logistics Supply Chains.

Autoren: Zhang, Meng Jia, Peng Zhang, Yige

Quelle: Information; Nov2025, Vol. 16 Issue 11, p1002, 30p

Schlagwörter: CROSS-border e-commerce, MULTI-objective optimization, SUPPLY chains, REVENUE sharing (Corporations), COOPERATIVE control systems, LINEAR programming, DECISION making

Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization

Autoren: de Franca, Fabricio Olivetti

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2501.01905

Multi-period distribution network design with boundedly rational customers for the service-oriented manufacturing supply chain: a 4PL perspective.

Autoren: Zhang, Yuxin Gao, Zheming Huang, Min et al.

Quelle: International Journal of Production Research; Oct2024, Vol. 62 Issue 20, p7412-7431, 20p

Schlagwörter: PARTICLE swarm optimization, CUSTOMER satisfaction, PROSPECT theory, SATISFACTION, INTEGER programming

On neutrosophic multi-level multi-objective linear programming problem with application in transportation problem.

Autoren: Fathy, E. Ammar, E.

Quelle: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 2, p2251-2267, 17p

Schlagwörter: LINEAR programming, TRANSPORTATION problems (Programming)

A new multi-objective genetic algorithm for solving the fuzzy stochastic multi-manned assembly line balancing problem.

Autoren: Zacharia, Paraskevi Th. Nearchou, Andreas C.

Quelle: International Journal of Production Research; Dec2025, Vol. 63 Issue 24, p9879-9901, 23p

Two TOPSIS-Based Approaches for Multi-Choice Rough Bi-Level Multi-Objective Nonlinear Programming Problems.

Autoren: El Sayed, Mohamed A. Farahat, Farahat A. Elsisy, Mohamed A. et al.

Quelle: Mathematics (2227-7390); Apr2025, Vol. 13 Issue 8, p1242, 23p

Schlagwörter: MULTI-objective optimization, BILEVEL programming, ROUGH sets, NONLINEAR programming, GOAL programming

Analysis of a Novel Method for Finding Solutions of Interval Game Problems via Fuzzy Approaches.

Autoren: Bisht, Monika Rawat, Shivam Ahmad, Junaid

Quelle: Journal of Fuzzy Extension & Applications (JFEA); Mar2025, Vol. 6 Issue 1, p109-133, 25p

Schlagwörter: GAME theory, MATHEMATICAL models, MATRICES (Mathematics), LINEAR programming, RANKING (Statistics)

A Two‐Stage Multiobjective Optimization Approach for Expressway Guide Sign Information Selection.

Autoren: Wei, Yutong Zhou, Ronggui Zhang, Weihan et al.

Quelle: Journal of Advanced Transportation; 9/27/2025, Vol. 2025, p1-19, 19p

Schlagwörter: MULTI-objective optimization, MIXED integer linear programming, TRAFFIC flow, TRAFFIC signs & signals, OPTIMIZATION algorithms, TOPSIS method

Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm.

Autoren: Zhang, Yuxin Huang, Min Gao, Zheming et al.

Quelle: International Journal of Production Research; May2025, Vol. 63 Issue 9, p3300-3330, 31p

Schlagwörter: THIRD-party logistics, NP-hard problems, INTEGER programming, SATISFACTION, FORTIFICATION

Two techniques to reduce the Pareto optimal solutions in multi-objective optimization problems.

Autoren: Ahmadi, Fatemeh Foroutannia, Davoud

Quelle: Communications in Combinatorics & Optimization; Mar2026, Vol. 11 Issue 1, p171-188, 18p

Schlagwörter: MULTI-objective optimization, PARETO optimum, DECISION making, MATHEMATICAL optimization, DECOMPOSITION method