Search Results - bilevel multi-objective nonlinear programming optimization

Bilevel optimization for bunching mitigation and eco-driving of electric bus lines

Authors: Lacombe, Rémi Gros, Sebastien Murgovski, Nikolce et al.

Source: Optimal energihantering för nätverk av elektrifierade bussar (OPNET) IEEE Transactions on Intelligent Transportation Systems. 23(8):10662-10679

Subject Terms: nonlinear programming., Bus bunching, bus lines, electric buses, Bussystem, optimal control

File Description: electronic

Access URL: https://research.chalmers.se/publication/525206
https://research.chalmers.se/publication/524748
https://research.chalmers.se/publication/525206/file/525206_Fulltext.pdf

Multi-objective optimization of cordon sanitaire considering operation cost and queueing equity.

Authors: Lin, Hong-Zhi Zhang, Yongping

Source: Transportation Letters. Dec2023, Vol. 15 Issue 10, p1289-1299. 11p.

Subject Terms: Capital costs, Queueing networks, Heuristic algorithms, Nonlinear programming, Genetic algorithms, Bilevel programming, Intelligent transportation systems

Fuzzy rough bi-level multi-objective nonlinear programming problems.

Authors: Elsisy, M.A. El Sayed, M.A.

Source: Alexandria Engineering Journal. Dec2019, Vol. 58 Issue 4, p1471-1482. 12p.

Subject Terms: Nonlinear programming, Nonlinear equations, Goal programming, Rough sets, Bilevel programming, Fuzzy sets, Problem solving

Optimization of facility location and size problem based on bi-level multi-objective programming.

Authors: Hu, Zhineng Wang, Li Qin, Jindong et al.

Source: Computers & Operations Research. Sep2022, Vol. 145, pN.PAG-N.PAG. 1p.

Subject Terms: *NONLINEAR programming, *SUPPLY & demand, BILEVEL programming, PARTICLE swarm optimization, LEARNING strategies

Task-service matching problem for platform-driven manufacturing-as-a-service: A one-leader and multi-follower Stackelberg game with multiple objectives.

Authors: Chen, Wenchong Feng, Pengwei Luo, Xinggang et al.

Source: Omega. Dec2024, Vol. 129, pN.PAG-N.PAG. 1p.

Subject Terms: *NONLINEAR programming, *CROWDSOURCING, *MANUFACTURING industries, BILEVEL programming, HEURISTIC algorithms

Optimal public transport timetabling with autonomous-vehicle units using coupling and decoupling tactics

Authors: Wang, Yaoyao Ceder, Avishai (Avi) Cao, Zhichao et al.

Source: World Transit Research

Subject Terms: Public transport optimisation, coupling-decoupling tactics, timetabling, multi-objective integer nonlinear programming, bilevel heuristic, operations - reliability, operations - scheduling, ridership - demand

Relation: https://www.worldtransitresearch.info/research/10858; https://doi.org/10.1080/23249935.2023.2220423

Availability: https://www.worldtransitresearch.info/research/10858
https://doi.org/10.1080/23249935.2023.2220423

A Bayesian network-based bi-level multi-objective programming model for uncertainty agricultural water management and allocation optimization.

Authors: Wang, Lingzi Jiang, Rengui Zhao, Yong et al.

Source: Journal of Cleaner Production. Oct2025, Vol. 528, pN.PAG-N.PAG. 1p.

Subject Terms: *UNCERTAINTY (Information theory), *BAYESIAN analysis, *SUSTAINABLE development, WATER management, AGRICULTURAL water supply, CLIMATE change, BILEVEL programming, MULTI-objective optimization

Geographic Terms: CHINA

Reviews & Products: SUSTAINABLE Development Goals (United Nations)

Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problem; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; Neural networks for combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimizationBilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problems; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization; Stochastic integer programsFRACTIONAL COMBINATORIAL OPTIMIZATION ; FCO

Authors: Radzik, Tomasz

Source: Encyclopedia of Optimization ; page 699-701 ; ISBN 9780792369325 9780306483325

Availability: http://dx.doi.org/10.1007/0-306-48332-7_144
https://link.springer.com/content/pdf/10.1007/0-306-48332-7_144

Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty

Authors: Ziad M. Ali Ibrahim Mohamed Diaaeldin Shady H. E. Abdel Aleem et al.

Source: Mathematics, Vol 9, Iss 1, p 26 (2020)

Subject Terms: distributed generation, graphically based network reconfiguration, hosting capacity maximization, power loss minimization, bilevel multi-objective nonlinear programming optimization, DG uncertainty, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/9/1/26; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/b5831637eb3946b383d8a14c8e7a9824

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

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

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

Subject Terms: 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

Access URL: https://doaj.org/article/43e429785294454eb58a97ddb66aaec0

Multi-Sine Cosine Algorithm for Solving Nonlinear Bilevel Programming Problems

Authors: Y. Abo-Elnaga M.A. El‐Shorbagy

Source: International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)

Subject Terms: Optimization, Nonlinear bilevel programming problems, Sine cosine algorithm, Bilevel Programming, Bilevel optimization, 0211 other engineering and technologies, Nonlinear Operators, Geometry, 02 engineering and technology, Quantum mechanics, Multi-Objective Transportation Problem Optimization, Sine, Engineering, Nonlinear programming, FOS: Mathematics, Optimization problem, Trigonometric functions, Numerical Analysis, Nonlinear Programming, Numerical Optimization Techniques, Multi-Objective Optimization, Physics, Mathematical optimization, QA75.5-76.95, Iterative Algorithms for Nonlinear Operators and Optimization, Computer science, Algorithm, Computational Theory and Mathematics, Control and Systems Engineering, Electronic computers. Computer science, Computer Science, Physical Sciences, Nonlinear system, Mathematics, Mixed-Integer Nonlinear Programs

Access URL: https://www.atlantis-press.com/article/125938835.pdf
https://doaj.org/article/253ec08b96954ffebea0a7afb08ff059
https://www.atlantis-press.com/journals/ijcis/125938835
https://doi.org/10.2991/ijcis.d.200411.001
https://dblp.uni-trier.de/db/journals/ijcisys/ijcisys13.html#Abo-ElnagaE20

An interior-point trust-region algorithm to solve a nonlinear bilevel programming problem

Authors: B. El-Sobky NULL AUTHOR_ID G. Ashry

Subject Terms: Economics, Bilevel Programming, Bilevel optimization, Geometry, Fixed-Point Problems, Karush–Kuhn–Tucker conditions, Quantum mechanics, Multi-Objective Transportation Problem Optimization, Engineering, Interior-Point Methods, Point (geometry), Nonlinear programming, Computer security, FOS: Mathematics, Interior point method, Optimization problem, Economic growth, 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, Computer Science, Physical Sciences, Convergence (economics), Nonlinear system, Mathematics, Mixed-Integer Nonlinear Programs, Trust region

An Exact Algorithm Based on the Kuhn–Tucker Conditions for Solving Linear Generalized Semi‐Infinite Programming Problems

Authors: Barragán, Abraham Camacho Vallejo, José Fernando Jiwari, Ram

Source: Journal of Mathematics, Vol 2022 (2022)

Subject Terms: Optimization, Criss-cross algorithm, Artificial intelligence, Class (philosophy), Bilevel Programming, Robustness (evolution), 0211 other engineering and technologies, Geometry, 02 engineering and technology, Karush–Kuhn–Tucker conditions, Mathematical analysis, Biochemistry, Quantum mechanics, Gene, Multi-Objective Transportation Problem Optimization, Engineering, Linear-fractional programming, Nonlinear programming, Linear programming, QA1-939, FOS: Mathematics, Optimization problem, QA Matemáticas, Semi-infinite programming, Scheme (mathematics), Numerical Analysis, Nonlinear Programming, Numerical Optimization Techniques, Semidefinite Programming, Physics, Mathematical optimization, Iterative Algorithms for Nonlinear Operators and Optimization, Computer science, Algorithm, Regular polygon, Chemistry, Ciencias computacionales, Computational Theory and Mathematics, Control and Systems Engineering, Physical Sciences, Computer Science, Nonlinear system, Robust optimization, Mathematics, Mixed-Integer Nonlinear Programs

File Description: text/xhtml; text

Access URL: https://doaj.org/article/c990e5b5a8fe45ed916b316feaf7f45b

Fuzzy Goal Programming Procedure to Bilevel MultiobjectiveLinear Fractional Programming Problems

Authors: Mahmoud A. Abo-Sinna Ibrahim A. Baky

Source: International Journal of Mathematics and Mathematical Sciences, Vol 2010 (2010)

Subject Terms: Artificial intelligence, Bilevel Programming, Bilevel optimization, Social Sciences, Group Decision Making, 02 engineering and technology, Multi-Criteria Decision Making, Management Science and Operations Research, Fixed-Point Problems, Goal programming, Quantum mechanics, Multi-Objective Transportation Problem Optimization, Decision Sciences, Engineering, Linear-fractional programming, Nonlinear programming, Fuzzy Goal Programming, Linear programming, QA1-939, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Optimization problem, Fractional programming, Extension (predicate logic), Physics, Mathematical optimization, Statistics, Iterative Algorithms for Nonlinear Operators and Optimization, Computer science, Programming language, Fuzzy logic, Regret, Computational Theory and Mathematics, Control and Systems Engineering, Physical Sciences, Computer Science, Nonlinear system, Linear Fractional Programming, Mathematics

File Description: text/xhtml

Access URL: http://downloads.hindawi.com/journals/ijmms/2010/148975.pdf
https://doaj.org/article/7fa2f9a03b304e8e8e4aebc01beffa8b
http://mamaghrabi1.kau.edu.sa/Show_Res.aspx?Site_ID=130&LNG=EN&RN=56281
https://downloads.hindawi.com/journals/ijmms/2010/148975.pdf
http://eli.kau.edu.sa/Files/130/Researches/56281_26601.pdf
https://dblp.uni-trier.de/db/journals/ijmmsc/ijmmsc2010.html#Abo-SinnaB10
https://www.emis.de/journals/HOA/IJMMS/Volume2010/148975.pdf
https://www.hindawi.com/journals/ijmms/2010/148975/

New class of G-Wolfe-type symmetric duality model and duality relations under $G_{f}$-bonvexity over arbitrary cones: New class of \(G\)-Wolfe-type symmetric duality model and duality relations under \(G_f\)-bonvexity over arbitrary cones

Authors: Ramu Dubey Arvind Kumar Rifaqat Ali et al.

Source: Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-16 (2020)

Subject Terms: Artificial intelligence, Convex Optimization, Bilevel Programming, 0211 other engineering and technologies, 02 engineering and technology, Nonconvex programming, global optimization, 01 natural sciences, Convergence Analysis of Iterative Methods for Nonlinear Equations, Nonlinear programming, efficient solution, QA1-939, FOS: Mathematics, Second-order, Multiobjective, Optimality conditions and duality in mathematical programming, 0101 mathematics, Fractional programming, Multi-objective and goal programming, Numerical Analysis, multiobjective, Global Optimization, Nonlinear Programming, Numerical Optimization Techniques, Wolfe, Paleontology, Geology, Iterative Algorithms for Nonlinear Operators and Optimization, FOS: Earth and related environmental sciences, 16. Peace & justice, Computer science, Algorithm, Computational Theory and Mathematics, Combinatorics, Duality (order theory), \(G_f\)-bonvexity, Computer Science, Physical Sciences, \(G_f\)-pseudobonvexity, Efficient solution, G f $G_{f}$ -Bonvexity/ G f $G_{f}$ -pseudobonvexity, Type (biology), Mathematics, Mixed-Integer Nonlinear Programs

File Description: application/xml

Access URL: https://journalofinequalitiesandapplications.springeropen.com/track/pdf/10.1186/s13660-019-2279-0.pdf
https://doaj.org/article/10c4a3bcbeae45da9bac8c1c890e0ab7
https://link.springer.com/article/10.1186/s13660-019-2279-0/figures/3
https://link.springer.com/content/pdf/10.1186/s13660-019-2279-0.pdf
https://link.springer.com/article/10.1186%2Fs13660-019-2279-0
https://journalofinequalitiesandapplications.springeropen.com/articles/10.1186/s13660-019-2279-0

A feasible direction method of multiobjective nonlinear two-level optimization problems with leader-follower structure

Authors: Xu, Fei Guo, Yaohuang

Subject Terms: bilevel optimization, Nonlinear programming, directional derivatives, Hierarchical games (including Stackelberg games), feasible descent direction, Multi-objective and goal programming, leader-follower structure

File Description: application/xml

Access URL: https://zbmath.org/1150270

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

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

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

Subject Terms: *MULTI-objective optimization, *BILEVEL programming, *ROUGH sets, *NONLINEAR programming, *GOAL programming

Multi-objective bi-level programming algorithm to design transition mechanism for wind farm participation in electricity markets.

Authors: Zhu, Wenjing Dong, Ping Lu, Yuke et al.

Source: International Journal of Electrical Power & Energy Systems. Sep2025, Vol. 170, pN.PAG-N.PAG. 1p.

Subject Terms: *BILEVEL programming, *ELECTRICITY markets, *MULTI-objective optimization, *PARETO optimum, *WIND power plants, *SUBSIDIES

An approach of fuzzy and TOPSIS to bi-level multi-objective nonlinear fractional programming problem.

Authors: Nayak, Suvasis Ojha, Akshay

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Jul2019, Vol. 23 Issue 14, p5605-5618. 14p.

Subject Terms: *GOAL programming, *NONLINEAR programming, *FRACTIONAL programming, *BILEVEL programming, *MEMBERSHIP functions (Fuzzy logic), *NONLINEAR functions

A Nonlinear Programming Model to Solve Matrix Games with Pay-offs of Single-valued Neutrosophic Numbers.

Authors: Seikh, Mijanur Rahaman Dutta, Shibaji

Source: Neutrosophic Sets & Systems. 2021, Vol. 47, p366-383. 18p.

Subject Terms: *NONLINEAR programming, *BILEVEL programming, *FUZZY numbers, *GAMES, *MATRICES (Mathematics), *MARKET share