Resultados de búsqueda - "algorithm"
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41
Flexible jobshop scheduling problem with resource recovery constraints.
Publicado 2017“…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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42
Performance evaluation and optimization of swarms of robots in a specific task
Publicado 2019“…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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43
Flexible jobshop scheduling problem with resource recovery constraints.
Publicado 2017“…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. …”
Enlace del recurso
Tesis -
44
Performance evaluation and optimization of swarms of robots in a specific task
Publicado 2019“…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. …”
Enlace del recurso
Tesis -
45
A Hybrid Metaheuristic-Based Approach for the Aerodynamic Optimization of Small Hybrid Wind Turbine Rotors
Publicado 2014“…The framework considers an innovative nestedhybrid solution procedure based on two metaheuristics, the virtual gene genetic algorithm and the simulated annealing algorithm, to provide a near-optimal solution to the problem. …”
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46
Optimization in preparation process of V₂O₅ using symbolic regression α-β.
Publicado 2019“…In this work a symbolic regression algorithm was used for modeling the preparation process of the compound V2O5. …”
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47
Analysis of multiple change-points in normally distributed series
Publicado 2013“…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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48
Optimization in preparation process of V₂O₅ using symbolic regression α-β.
Publicado 2019“…In this work a symbolic regression algorithm was used for modeling the preparation process of the compound V2O5. …”
Enlace del recurso
Tesis -
49
Analysis of multiple change-points in normally distributed series
Publicado 2013“…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. …”
Enlace del recurso
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50
Desarrollo de algoritmos matemáticos para detectar la presencia de bacterias, hongos y plagas, utilizando sistemas de procesamiento de imágenes.
Publicado 2018“…In a third investigation, a revolving platform and an algorithm were developed so that the hyperspectral imaging system could scan and reconstruct the entire exocarp of a tomato fruit. …”
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51
Desarrollo de algoritmos matemáticos para detectar la presencia de bacterias, hongos y plagas, utilizando sistemas de procesamiento de imágenes.
Publicado 2018“…In a third investigation, a revolving platform and an algorithm were developed so that the hyperspectral imaging system could scan and reconstruct the entire exocarp of a tomato fruit. …”
Enlace del recurso
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52
An Optimized Covering Spheroids by Spheres
Publicado 2020“…The concept of an ε -cover is introduced as an outer multi-spherical approximation of the spheroid with the proximity ε . A fast heuristic algorithm is proposed to construct an optimized ε -cover giving a reasonable balance between the value of the proximity parameter ε and the number of spheres used. …”
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53
Lot production size problem and simulation of urban transport
Publicado 2015“…The mathematical model and the algorithm for the lot production size problem, showed in this research, can be used for production planners to help in the scheduling of the manufacturing. …”
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54
Lot production size problem and simulation of urban transport
Publicado 2015“…The mathematical model and the algorithm for the lot production size problem, showed in this research, can be used for production planners to help in the scheduling of the manufacturing. …”
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55
A multi-step multi-objective generation expansion planning model-A case study in Mexico
Publicado 2018“…The problem was solved using the NSGA-II algorithm. Keywords: Energy planning, generation expansion planning, capacity expansion planning, Generation expansion planning…”
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56
Algoritmo genético para un problema de ruteo con entrega y recolección de producto y con restricciones de ventana de horario
Publicado 2005“…This paper proposes a specialized genetic algorithm. We report good solutions in computational times below 5 minutes. …”
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57
Modeling mexican electricity market: experimental results
Publicado 2010“…The computational game theoretic modeling tool, offered in this paper, composed as a mixed complementarity problem (MCP), solved by the GAMS (www.gams.com) algorithm PATH. It was applied to the Mexican electricity market data to obtain Nash equilibrium in the perfect competition and Cournot cases, as well as open market scenario with international trade with the USA.…”
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58
A relax and cut approach using the multi-commodity flow formulation for the traveling salesman problem
Publicado 2015“…The results obtained by the computational study are encouraging and show that the proposed algorithm generated good dual bounds for the ATSP with a low execution time.…”
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59
Optimized Packing Clusters of Objects in a Rectangular Container
Publicado 2019“…The layout problem is then formulated as a nonlinear nonconvex continuous problem. A novel algorithm to search for locally optimal solutions is developed. …”
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60
Accessible location of mobile labs for COVID-19 testing
Publicado 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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Artículo