Search Results - (( algorithm bias ) OR ( algorithm dias ))*

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    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). …”
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    Tesis
  3. 3

    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
  4. 4

    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. …”
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    Article
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    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
    “…To assess the effectiveness of the proposed matheuristic algorithms, tests were con ducted on instances simulating scenarios where an analyst must deliver a generation sched ule within one or two hours. …”
    Get full text
    Tesis
  8. 8

    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
    “…To assess the effectiveness of the proposed matheuristic algorithms, tests were con ducted on instances simulating scenarios where an analyst must deliver a generation sched ule within one or two hours. …”
    Get full text
    Tesis

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