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Rachunek optymalizacyjny w leśnictwie
Rachunek optymalizacyjny w leśnictwie
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Rachunek optymalizacyjny w leśnictwie

Trampler, Tadeusz

Warszawa: Państwowe Wydawn. Naukowe 1982

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2
Energy-saving optimal scheduling under multi-mode “source-network-load-storage” combined system in metro station based on modified GrayWolf Algorithm
Energy-saving optimal scheduling under multi-mode “source-network-load-storage” combined system in metro station based on modified GrayWolf Algorithm
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Energy-saving optimal scheduling under multi-mode “source-network-load-storage” combined system in metro station based on modified GrayWolf Algorithm

Tian, Jingjing ; Qian, Yu ; Zhao, Feng ; Mo, Shenglin ; Xiao, Huaxuan ; Zhu, Xiaotong ; Liu, Guangdi

Archives of Electrical Engineering (Online), 2024-03, Vol.73 (1), p.121-141 [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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3
A hybrid method for the optimal reactive power dispatch and the control of voltagesin an electrical energy network
A hybrid method for the optimal reactive power dispatch and the control of voltagesin an electrical energy network
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A hybrid method for the optimal reactive power dispatch and the control of voltagesin an electrical energy network

Benchabira, Aissa ; Khiat, Mounir

Archives of Electrical Engineering (Online), 2024-01, Vol.68 (3), p.535-551 [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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4
The Optimal Routing of Raspberry Pickers in an Analytical and Simulation Approach
The Optimal Routing of Raspberry Pickers in an Analytical and Simulation Approach
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The Optimal Routing of Raspberry Pickers in an Analytical and Simulation Approach

KACZMAR, Ireneusz ; BANYAI, Tamás

Management and Production Engineering Review, 2024-03, Vol.2024 (1) [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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5
Architecture optimization techniques for Convolutional Neural Networks: further experiments and insights
Architecture optimization techniques for Convolutional Neural Networks: further experiments and insights
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Architecture optimization techniques for Convolutional Neural Networks: further experiments and insights

Sobolewski, Artur ; Szyc, Kamil

International Journal of Electronics and Telecommunications, 2024-01, Vol.70 (1), p.87-87 [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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6
Promieniowanie rezonansowe UV w funkcji częstotliwości prądu w obwodzie lampy oraz warunków środowiska pracy
Promieniowanie rezonansowe UV w funkcji częstotliwości prądu w obwodzie lampy oraz warunków środowiska pracy
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Promieniowanie rezonansowe UV w funkcji częstotliwości prądu w obwodzie lampy oraz warunków środowiska pracy

Różowicz, Antoni

Przegląd elektrotechniczny, 2024-02, Vol.1 (2), p.199-201 [Periódico revisado por pares]

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7
A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
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A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment

DEL GALLO, Mateo ; CIARAPICA, Filippo Emanuele ; MAZZUTO, Giovanni ; BEVILACQUA, Maurizio

Management and Production Engineering Review, 2023-12, Vol.14 (4) [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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8
Optimization of gear teeth in the wind turbine drive train with gear contact’s uncertainty using the reliability-based design optimization
Optimization of gear teeth in the wind turbine drive train with gear contact’s uncertainty using the reliability-based design optimization
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Optimization of gear teeth in the wind turbine drive train with gear contact’s uncertainty using the reliability-based design optimization

Lee, Changwoo ; Park, Yonghui

Archive of Mechanical Engineering, 2022-11, Vol.69 (4), p.713-728 [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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9
Optimization of Aggregate Production Planning Problems with and without Productivity Loss using Python Pulp Package
Optimization of Aggregate Production Planning Problems with and without Productivity Loss using Python Pulp Package
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Optimization of Aggregate Production Planning Problems with and without Productivity Loss using Python Pulp Package

REHMAN, Hakeem Ur ; AHMAD, Ayyaz ; ALI, Zarak ; BAIG, Sajjad Ahmad ; MANZOOR, Umair

Management and Production Engineering Review, 2021-12, Vol.12 (4) [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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10
Maximizing Wind Turbine Efficiency: Monte Carlo Simulation Based on Cost and Energy Loss Analysis for Optimal Preventive Maintenance
Maximizing Wind Turbine Efficiency: Monte Carlo Simulation Based on Cost and Energy Loss Analysis for Optimal Preventive Maintenance
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Maximizing Wind Turbine Efficiency: Monte Carlo Simulation Based on Cost and Energy Loss Analysis for Optimal Preventive Maintenance

EDDOUH, Yassine ; DAYA, Abdelmajid ; EL OTMANI, Rabie ; TOUACHE, Abdelhamid

Management and Production Engineering Review, 2024-03, Vol.2024 (1) [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

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