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21
Solving a green logistics bi-level bi-objective problem.
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 -
22
Solving a green logistics bi-level bi-objective problem.
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 -
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
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 -
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
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 -
25
Lot production size problem and simulation of urban transport
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. …”
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Tesis -
26
Lot production size problem and simulation of urban transport
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 -
27
Accessible location of mobile labs for COVID-19 testing
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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28
On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball
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. …”
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Tesis -
29
On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball
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 -
30
El índice Ka: un nuevo algoritmo para analizar los componentes de la superficie terrestre en imágenes de satélite
Published 2006“…Se han desarrollado diversas formas para entender- los y la sensoría remota es lo más reciente y nove- doso para tener un conocimiento rápido de gran- des extensiones. …”
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