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  1. 21

    Solving a green logistics bi-level bi-objective problem. by Maldonado Pinto, Carmen Sayuri

    Published 2017
    “…In other words, a swap between the best solutions from both populations in each generation is conducted. By doing this, the algorithm intends to find efficient solutions. The evolution performed in each population is done through a Biased Random Keys Genetic Algorithm( BRKGA). …”
    Get full text
    Tesis
  2. 22

    Solving a green logistics bi-level bi-objective problem. by Maldonado Pinto, Carmen Sayuri

    Published 2017
    “…In other words, a swap between the best solutions from both populations in each generation is conducted. By doing this, the algorithm intends to find efficient solutions. The evolution performed in each population is done through a Biased Random Keys Genetic Algorithm( BRKGA). …”
    Get full text
    Tesis
  3. 23

    Efficient methods for solving power system operation scheduling challenges: the thermal unit commitment problem with staircase cost and the very short-term load forecasting problem by Lezama Lope, Uriel Iram

    Published 2023
    “…AnMA exploits the seasonal characteristics of load demand time series by selecting the most correlated days. Its adaptability to real-time data positions it as an ideal choice for accommodating new demand patterns, rectifying biases, and enhancing accuracy. …”
    Get full text
    Tesis
  4. 24

    Efficient methods for solving power system operation scheduling challenges: the thermal unit commitment problem with staircase cost and the very short-term load forecasting problem by Lezama Lope, Uriel Iram

    Published 2023
    “…AnMA exploits the seasonal characteristics of load demand time series by selecting the most correlated days. Its adaptability to real-time data positions it as an ideal choice for accommodating new demand patterns, rectifying biases, and enhancing accuracy. …”
    Get full text
    Tesis
  5. 25

    Lot production size problem and simulation of urban transport by Morales Marroquín, Miguel Lorenzo

    Published 2015
    “…The “Lot production size for a parallel machine scheduling problem with auxiliary equipment” deals with a manufacturing setting where sets of pieces form finished products. …”
    Get full text
    Tesis
  6. 26

    Lot production size problem and simulation of urban transport by Morales Marroquín, Miguel Lorenzo

    Published 2015
    “…The “Lot production size for a parallel machine scheduling problem with auxiliary equipment” deals with a manufacturing setting where sets of pieces form finished products. …”
    Get full text
    Tesis
  7. 27

    Accessible location of mobile labs for COVID-19 testing by Villicaña Cervantes, Dianne Larissa, Ibarra Rojas, Omar Jorge

    Published 2024
    “…In response, we designed a Biased Random-Key Genetic Algorithm to solve the defned problem; this is capable of obtaining high-quality feasible solutions over large numbers of instances in seconds. …”
    Get full text
    Article
  8. 28

    On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball by Aguirre López, Mario Alberto

    Published 2016
    “…Thus, methodology consist in solving the two-point boundary value problem (BVP) of the movement equations without the Magnus force and then adding its effect. The second part deals with the lift force present in knuckleball pitches, which is caused by the asymmetries on the ball morphology and has an oscillatory behavior varying the seams orientation. …”
    Get full text
    Tesis
  9. 29

    On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball by Aguirre López, Mario Alberto

    Published 2016
    “…Thus, methodology consist in solving the two-point boundary value problem (BVP) of the movement equations without the Magnus force and then adding its effect. The second part deals with the lift force present in knuckleball pitches, which is caused by the asymmetries on the ball morphology and has an oscillatory behavior varying the seams orientation. …”
    Get full text
    Tesis
  10. 30

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