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Efficient Mixed Integer Linear Programming Approaches to Dynamic Path Restoration
P. 146–152.
Jia J., Guan X., Pardalos P. M., Journal of Computational and Applied Mathematics 2026 Vol. 486 Article 117687
We study the restricted inverse optimal value problem on linear programming under weighted l1 norm (RIOVLP1). Given a linear programming problem (LP with a feasible solution x0 and a value K, we aim to adjust the cost vector c to such that x0 becomes an optimal solution of the problem (LP) whose objective value equals K. The objective function is to minimize the distance under weighted l1 norm. First, we reformulate ...
Added: April 10, 2026
Sohrabi M., Fathollahi-Fard A., Gromov V., Automation and Remote Control 2024 Vol. 85 No. 3 P. 252–262
Genetic Algorithms (GAs) are known for their efficiency in solving combinatorial optimization problems, thanks to their ability to explore diverse solution spaces, handle various representations, exploit parallelism, preserve good solutions, adapt to changing dynamics, handle combinatorial diversity, and provide heuristic search. However, limitations such as premature convergence, lack of problem-specific knowledge, and randomness of crossover ...
Added: September 29, 2023
Zare M. H., Borrero J. S., Zeng B. et al., Annals of Operations Research 2019 Vol. 272 No. 1-2 P. 99–117
We consider reformulations of a class of bilevel linear integer programs as equivalent linear mixed-integer programs (linear MIPs). Themost common technique to reformulate such programs as a single-level problem is to replace the lower-level linear optimization problem by Karush–Kuhn–Tucker (KKT) optimality conditions. Employing the strong duality (SD) property of linear programs is an alternative method ...
Added: November 19, 2017
Zakhodiakin G., Зайчиков В. А., В кн.: Инновационные технологии в логистике и управлении цепями поставок.: М.: Эс-Си-Эм Консалтинг, 2015. С. 129–133.
This paper proposes a risk-aware approach to tactical supply chain planning based on integration of mathematical programming and simulation. A prototype planning system implementing this ap-proach is described. The prototype is developed using Anylogic simulation software and an open source mixed integer optimization tool – GNU Linear Programming Kit (GLPK) ...
Added: February 27, 2016
Zakhodiakin G., Успехи в химии и химической технологии 2014 Т. 28 № 10 (159) С. 97–100
This paper describes an approach to supply chain network optimization for a petrochemical enterprise. The state-task network is used for supply chain representation. A framework for comprehensive economic and environmental assessment based on life cycle assessment is proposed. The software implementation of proposed methodology is described. ...
Added: February 27, 2016
Зайчиков В. А., Zakhodiakin G., Успехи в химии и химической технологии 2014 Т. 28 № 8 (157) С. 122–125
This paper describes a prototype distribution network planning tool based on an iterative approach using a combination of mixed-integer linear programming and simulation. The prototype is implemented using an open-source optimization package GLPK and Anylogic software. ...
Added: February 27, 2016