Search Results - ((algorithm bias) OR (((algorithm vias) OR (algorithm versus))))

Análisis comparativo de una metaheurística en base a algoritmo genético vs un método de ramificación y corte para un caso de entrega y recolección con restricciones de ventana de horario (Comparative analysis of a metaheuristic based on a genetic algorithm versus a branch & cut method for a pickup and delivery problem with time windows constraints) by López, Fabián

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Construcción de corpus en entornos digitales: Estrategias mixtas para estudiar la comunicación política en X by Pérez Reséndiz, Enrique

Subjects: “…algorithmic bias…”
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Análisis comparativo de una metaheurística en base a algoritmo genético vs un método de ramificación y corte para un caso de entrega y recolección con restricciones de ventana de h... by López Pérez, Jesús Fabián

“…Comparative analysis of a metaheuristic based on a genetic algorithm versus a branch & cut method for a pickup and delivery problem with time windows constraints…”
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Accessible location of mobile labs for COVID-19 testing by Villicaña Cervantes, Dianne Larissa, Ibarra Rojas, Omar Jorge

“…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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Algoritmo genético para un problema de ruteo con entrega y recolección de producto y con restricciones de ventana de horario by López Pérez, Jesús Fabián, Badii Zabeh, Mohammad Hosein

“…This paper proposes a specialized genetic algorithm. We report good solutions in computational times below 5 minutes. …”
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Solving a green logistics bi-level bi-objective problem. by Maldonado Pinto, Carmen Sayuri

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

“…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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Inteligencia Artificial, Diseño Emocional y Ética: Impacto en la construcción de la identidad de marca digital by Mejía Torres, Valeria

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A Real-Time SOSM Super-Twisting Technique for a Compound DC Motor Velocity Controller by Morfin, Onofre A., Castañeda, Carlos E., Valderrabano González, Antonio, Hernandez González, Miguel, Valenzuela, Fredy A.

“…This scheme is based on the state-feedback linearization technique combined with a second-order sliding mode algorithm, named super-twisting, for stabilizing the system and achieving control goals. …”
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Técnicas de minería de datos para la reducción de costos en la automatización del proceso de cultivo de tilapia. by Coronado Arjona, Manuel Alejandro, Perera Collí, Miguel Ángel Perera Collí, Bianchi Rosado, Víctor Manuel, Matú Sansores, Mariano de Jesús, Cohuo Ávila, Miguel Ángel

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Mapeo de Literatura sobre el Impacto de los LLM en la Gestión del Conocimiento: Tendencias y Desafíos. by García-López, Iván Miguel, Nájera-Ochoa, Jessica

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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

“…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. …”
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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

“…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. …”
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Structural characterization of the equatorial F region plasma irregularities in the multifractal context by Joshi, Neelakshi, Rosa, Reinaldo R., Savio, Siomel, Kherani, Esfhan Alam, de Meneses, Francisco Carlos, Stephany, Stephan, Muralikrishna, Polinaya

“…In the emerging ionosphere–space–weather paradigm, investigating the dynamical properties of ionospheric plasma irregularities using advanced computational nonlinear algorithms provide new insights into their turbulent-seeming nature, for instance, the evidence of energy distribution via a multiplicative cascade. …”
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