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

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.

“…bstract: In this paper, a real-time robust closed-loop control scheme for controlling the velocity of a Direct Current (DC) motor in a compound connection is proposed. 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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Analysis of multiple change-points in normally distributed series by Garza Venegas, Jorge Arturo

“…Obtaining these change-points MLEs could be considered as an optimization problem, so a Construction Heuristic and a Genetic Algorithm (Evolutionary) were developed based on them. …”
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Analysis of multiple change-points in normally distributed series by Garza Venegas, Jorge Arturo

“…Obtaining these change-points MLEs could be considered as an optimization problem, so a Construction Heuristic and a Genetic Algorithm (Evolutionary) were developed based on them. …”
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Flexible jobshop scheduling problem with resource recovery constraints. by Vallikavungal Devassia, Jobish

“…Moreover, the completion time of the production scheduling generated by our algorithm is shorter than the one generated through the process followed by the decision maker. …”
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Performance evaluation and optimization of swarms of robots in a specific task by Márquez Vega, Luis Ángel

“…The Multi-Objective Particle Swarm Optimization (MOPSO), the Nondominated Sorting Genetic Algorithm II using Differential Evolution (NSGA-II-DE) and the Multiobjective Evolutionary Algorithm based on Decomposition using Differential Evolution (MOEA/D-DE) are used to optimize the control parameters ∆r, ∆o and ∆a for the proposed task in each experiment. …”
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Flexible jobshop scheduling problem with resource recovery constraints. by Vallikavungal Devassia, Jobish

“…Moreover, the completion time of the production scheduling generated by our algorithm is shorter than the one generated through the process followed by the decision maker. …”
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Performance evaluation and optimization of swarms of robots in a specific task by Márquez Vega, Luis Ángel

“…The Multi-Objective Particle Swarm Optimization (MOPSO), the Nondominated Sorting Genetic Algorithm II using Differential Evolution (NSGA-II-DE) and the Multiobjective Evolutionary Algorithm based on Decomposition using Differential Evolution (MOEA/D-DE) are used to optimize the control parameters ∆r, ∆o and ∆a for the proposed task in each experiment. …”
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Alternative Method to Estimate the Fourier Expansions and Its Rate of Change by Rodríguez Maldonado, Johnny, Posadas Castillo, Cornelio, Zambrano Serrano, Ernesto

“…Additionally, the proposed Taylor–Kalman–Fourier algorithm (TKFA) achieves a null-flat frequency response around the frequency operation. …”
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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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Smart Corrosion Monitoring in AA2055 Using Hidden Markov Models and Electrochemical Noise Signal Processing by Martínez Ramos, Cynthia, Gaona Tiburcio, Citlalli, Estupiñan López, Francisco Humberto, Cabral Miramontes, José Ángel, Maldonado Bandala, Erick, Almeraya Calderón, Facundo, Nieves Mendoza, Demetrio, Baltazar Zamora, Miguel Ángel, Landa Ruiz, Laura, Galván Martínez, Ricardo, Almeraya Calderón, Facundo

“…This work explores the application of Hidden Markov Models (HMMs) for the classification and reconstruction of corrosion mechanisms in the aerospace-grade aluminum alloy AA2055 from the signals obtained by electrochemical noise (EN) analysis. Using the PELT algorithm to segment the signal based on relevant changepoints, distinct corrosion states within the segments are isolated and identified, including general, localized, and mixed corrosion based on statistical signal features, which are used to create the probabilistic structure of HMMs through the initiation, transition, and emission matrices. …”
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On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball by Aguirre López, Mario Alberto

“…This is applied in an algorithm based on shooting method, which obtains the initial conditions of synthetic trajectories with a high accuracy in a low-time.…”
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On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball by Aguirre López, Mario Alberto

“…This is applied in an algorithm based on shooting method, which obtains the initial conditions of synthetic trajectories with a high accuracy in a low-time.…”
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Lot production size problem and simulation of urban transport by Morales Marroquín, Miguel Lorenzo

“…We propose an exact integer linear programming, a Relax&Fix heuristic, and a multistart greedy algorithm to solve this problem. Experimental results on instances based on real-world data show the efficiency of our approaches. …”
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Lot production size problem and simulation of urban transport by Morales Marroquín, Miguel Lorenzo

“…We propose an exact integer linear programming, a Relax&Fix heuristic, and a multistart greedy algorithm to solve this problem. Experimental results on instances based on real-world data show the efficiency of our approaches. …”
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A multi-step multi-objective generation expansion planning model-A case study in Mexico by Palacios, Rodrigo, Valdés, Eduardo, Batres, Rafael

“…The proposed model is based on a real power system in Mexico for the planning period between 2017 and 2037. …”
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Modeling mexican electricity market: experimental results by Kalashnikov, Vitaly, Kalashnykova, Nataliya I., Castillo Pérez, Felipe de Jesús

“…In this paper, we propose an oligopolistic model of electricity market of Mexico and analyze numerical experiments based upon this model. Presently, the Mexican electricity market is presented by the state-regulated monopoly, so a competition market is not yet established. …”
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Cultura de la innovación en el desempeño de la industria manufacturera colombiana by Ramirez Tarazona, Josue Vladimir, Arana Flórez, Ronald, Corrales Castillo, Emilio José

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