Resultados de búsqueda - ((algorithmic bias) OR (algorithm based))

Optimización de la planificación de servicios por Sánchez Yepez, Gabriela

“…The study seeks to propose mathematical formulations and solution algorithms for at least one variant of the problem with the purpose of contribute to the improvement of the state of the art of vehicle routing problems, logistics, and transport. …”
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Optimización de la planificación de servicios por Sánchez Yepez, Gabriela

“…The study seeks to propose mathematical formulations and solution algorithms for at least one variant of the problem with the purpose of contribute to the improvement of the state of the art of vehicle routing problems, logistics, and transport. …”
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Exact solutions for the agricultural and the two-dimensional packing problems por Cid García, Néstor Miguel

“…Objectives and study method: The objective of this study is to develop exact algorithms that can be used as management tools for the agricultural production planning and to obtain exact solutions for two of the most well known twodimensional packing problems: the strip packing problem and the bin packing problem. …”
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Exact solutions for the agricultural and the two-dimensional packing problems por Cid García, Néstor Miguel

“…Objectives and study method: The objective of this study is to develop exact algorithms that can be used as management tools for the agricultural production planning and to obtain exact solutions for two of the most well known twodimensional packing problems: the strip packing problem and the bin packing problem. …”
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Design and manufacturing of a propeller for axial-flow fan por Almazo, D., Toledo, M., Rodríguez, C.

“…This work presents a methodology for the design and manufacture of propellers oriented to the experimental verification of theoretical results based on the combined model. The design process begins by using algorithms in Matlab which output data contain the coordinates of the points that define the blade airfoils, in this case the NACA 6512 airfoil was used. …”
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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 por Lezama Lope, Uriel Iram

“…These two are important challenges that need the development of models and efficient algorithms. To tackle the generator scheduling problem, we propose and develop five matheuristic methods, including four variations of local branching (LB) and one using kernel search (KS). …”
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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 por Lezama Lope, Uriel Iram

“…These two are important challenges that need the development of models and efficient algorithms. To tackle the generator scheduling problem, we propose and develop five matheuristic methods, including four variations of local branching (LB) and one using kernel search (KS). …”
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Sintesis posicional.... por Guerra Torres, César, Torres Treviño, Luis Martín, Rodríguez Liñán, Juan Ángel

“…In this work, a technique based on evolutionary algorithms appears, to obtain an approximated solution of the position equations system, that as well contemplate a greater amount of conditions of design.…”
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Test bed for applications of heterogeneous unmanned vehicles por Muñoiz Palacios, Filiberto, Espinoza Quesada, Eduardo Steed, Sanahuja, Guillaume, Salazar, Sergio, García Salazar, Octavio, García Carrillo, Luis Rodolfo

“…Finally, in order to illustrate the effectiveness of the developed test bed for the implementation of advanced controllers, we present experimental results of the implementation of three consensus algorithms: static, adaptive, and neural network, in order to accomplish that a team of multiagents systems move together to track a target. …”
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Solving a green logistics bi-level bi-objective problem. por 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. por 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). …”
Enlace del recurso

Fragment-aided recognition of images under poor lighting and additive impulse noises por Kalashnikov, Vyacheslav V., Avramenko, Viktor V., Demianenko, Volodymyr N., Kalashnykova, Nataliya I.

“…On the base of the first-order integral disproportion functions, two algorithms recognizing fragments of standard images are proposed. …”
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Accessible location of mobile labs for COVID-19 testing por 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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Structural characterization of the equatorial F region plasma irregularities in the multifractal context por 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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