Suchergebnisse - "linear programming problem"

Answer Note "A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications" von Kumar, Ranjan, Edalatpanah, Seyyed Ahmad, Gayen, Sudipta, Broumi, Said

“… Singh et al. [1], for solving the fully neutrosophic linear programming problems stated that the method of Abdel-Basset et al. [2] is scientifically incorrect …”
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A new algorithm to solve fully fuzzy linear programming problems using the MOLP problem von Ezzati, R., Khorram, E., Enayati, R.

“… Recently, two new algorithms have been proposed to solve a fully fuzzy linear programming (FFLP) problem by Lotfi et al. [F.H. Lotfi, T. Allahviranloo, M.A …”
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Optimal scheduling of ancillary services provided by an electric vehicle aggregator von de la Torre, S., Aguado, J.A., Sauma, E.

“… Massification of Electric vehicles (EVs) is becoming a worldwide reality as a means to combat climate change and local pollution. Considering that most of the …”
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Linear optimization of bipolar fuzzy relational equations with max-Łukasiewicz composition von Liu, Chia-Cheng, Lur, Yung-Yih, Wu, Yan-Kuen

“… According to the literature, a linear optimization problem subjected to a system of bipolar fuzzy relational equations with max-Łukasiewicz composition can be …”
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A Modified Novel Method for Solving the Uncertainty Linear Programming Problems Based on Triangular Neutrosophic Number von Kshitish Mohanta, Vishal Chaubey, Deena Sharanappa, Vishnu Mishra

“… Generally, linear programming (LP) problem is the most extensively utilized technique for solving and optimizing real-world problems due to its simplicity and …”
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Solving a multi-objective chance constrained hierarchical optimization problem under intuitionistic fuzzy environment with its application von Sharma, Kirti, Singh, Vishnu Pratap, Ebrahimnejad, Ali, Chakraborty, Debjani

“… Various optimization approaches have been developed and used for generating optimal solutions for different industry related optimization problems. The …”
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Solution of Z-number-based multi-objective linear programming models with different membership functions von Akram, Muhammad, Ullah, Inayat

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Efficient predictive control method for ORC waste heat recovery system based on recurrent neural network von Wu, Xialai, Qin, Jiabin, Chen, Junghui, Wang, Yongli

“… •A novel predictive control method is proposed for the Organic Rankine Cycle.•The recurrent neural network with special linear transfer functions is used.•The …”
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Utilizing a projection neural network to convex quadratic multi‐objective programming problems von Jahangiri, Mohammadreza, Nazemi, Alireza

“… Summary In this paper, we propose a projection neural network model for solving convex quadratic multi‐objective optimization problem (CQMOP). The CQMOP is …”
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Optimized graph-cut approach for the screen-line traffic counting location problem: An exact and efficient solution method von Sase, Ruri, Sugiura, Satoshi, Chen, Anthony

“… •A novel approach as Cut Optimization Problem (COP) for screen-line counter location problem (SLTCLP) based on graph cut without path enumeration.•Exact …”
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Multiobjective linear fractional programming model with equality and inequality constraints under pentagonal intuitionistic fuzzy environment von Yuvashri, P., Saraswathi, A.

“… Multi-objective Linear Fractional optimization simultaneously addresses diverse goals using fractional programming techniques, offering a versatile …”
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Optimizing multivariate alarm systems: A study on joint false alarm rate, and joint missed alarm rate using linear programming technique von Taheri-Kalani, J., Latif-Shabgahi, Gh, Shoorehdeli, M. Aliyari

“… In modern complex industrial systems, multiple process variables interact with one another. The role of alarm systems in ensuring the safety of these systems …”
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Solution of matrix games with rough interval pay‐offs and its application in the telecom market share problem von Seikh, Mijanur R., Dutta, Shibaji, Li, Deng‐Feng

“… Rough interval (RI) is an appropriate generalization of the crisp interval and is very much useful to express uncertain parameters or partially unknown …”
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Solution to the single parametric linear programming problems via simplex-based algorithms: handling the uncertainties in costs, left or right-hand sides von Gonce Kocken, Hale, Albayrak, Inci, Sivri, Mustafa, Temelcan Ergenecosar, Gizem

“… Parametric programming is one of the notable approaches to expressing the uncertainties encountered in real life. Many studies express the parameters of the …”
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Network-Level Optimization for Unbalanced Power Distribution System: Approximation and Relaxation von Jha, Rahul Ranjan, Dubey, Anamika

“… The nonlinear programming (NLP) problem to solve distribution-level optimal power flow (D-OPF) poses convergence issues and does not scale well for unbalanced …”
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A bidding mechanism for maintenance of generation units considering inter-ISO power exchange von Fu, Jianfeng, Núñez, Alfredo, De Schutter, Bart

“… To ensure the reliability of power systems, the independent system operator (ISO) manages the planning process of the maintenance of generation units for …”
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Mixed integer linear programming problem for personnel multi-day shift scheduling: A case study in an Iran hospital von Nobil, Amir Hossein, Sharifnia, Seyed Mohammad Ebrahim, Cárdenas-Barrón, Leopoldo Eduardo

“… The application of mathematical and systematic models and approaches to health is on the rise. In this study, a mixed-integer linear programming problem with …”
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Constrained Markov decision processes with uncertain costs von V Varagapriya, Singh, Vikas Vikram, Lisser, Abdel

“… We consider a finite state-action discounted constrained Markov decision process with uncertain running costs and known transition probabilities. We propose …”
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A method for solving interval type-2 triangular fuzzy bilevel linear programming problem von Davoudi, Niloofar, Hamidi, Farhad, Nehi, Hasan

“… In this paper, we consider the bilevel linear programming problem (BLPP) where all the coefficients in the problem are interval type-2 triangular fuzzy numbers …”
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Solving convex multi-objective optimization problems using a projection neural network framework von Jahangiri, Mohammadreza, Nazemi, Alireza

“… In this paper, a projection neural network model for solving convex multi-objective optimization problem (CMOP) is considered. The CMOP is first converted into …”
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