940 resultados para Multi- Choice mixed integer goal programming


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Pós-graduação em Biometria - IBB

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Elétrica - FEIS

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A Multi-locus mixed mating model and correlated mating model were used to analyze the mating system of four natural populations of Peltophorum dubium (Sprengel) Taubert from Western Sao Paulo State, Brazil. Open pollinated seeds were collected from 19 to 33 seed-trees per population and evaluated by allozyme electrophoresis analysis. Significant differences between pollen and ovule gene frequencies were detected in more than 50% of loci in each population, indicating deviations from random mating, probably due to correlated mating, self-fertilizations and mating among relatives. The comparison the fixation index estimated from seed trees ((F) over cap (m), ranged from 0.009 to 0.285) with their progenies ((F) over cap (p), ranged from 0.127 to 0.364) suggested selection against inbreeding between offspring of adult stages. The estimates of multi-locus outcrossing rate (t(m)) ranged from 0.557 to 0.924, indicating that the species has a mixed-mating system. Differences between multi-locus and single-locus outcrossing rate (t(m)-t(s))was positive and significantly different from zero for all populations, with values ranging from 0.092 to 0.111, suggesting mating among relatives within the populations, probably due to the presence of intra-population spatial genetic structure. The mean coefficient of co-ancestry (Theta) within progenies ranged from 0.147 to 0.251; confirming that the progenies are compounded by mixtures of different kinds of relatedness. The results are discussed from the view of genetic improvement and conservation of the species.

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The hydroelectric power plant Hidroltuango represents a major expansion for the Colombian electrical system (with a total capacity of 2400 MW). This paper analyzes the possible interconnections and investments involved in connecting Hidroltuango, in order to strengthen the Colombian national transmission system. A Mixed Binary Linear Programming (MBLP) model was used to solve the Multistage Transmission Network Expansion Planning (MTEP) problem of the Colombian electrical system, taking the N-1 safety criterion into account. The N-1 safety criterion indicates that the transmission system must be expanded so that the system will continue to operate properly if an outage in a system element (within a pre-defined set of contingencies) occurs. The use of a MBLP model guaranteed the convergence with existing classical optimization methods and the optimal solution for the MTEP using commercial solvers. Multiple scenarios for generation and demand were used to consider uncertainties within these parameters. The model was implemented using the algebraic modeling language AMPL and solved using the commercial solver CPLEX. The proposed model was then applied to the Colombian electrical system using the planning horizon of 2018-2025. (C) 2014 Elsevier B.V. All rights reserved.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The transmission expansion planning problem in modern power systems is a large-scale, mixed-integer, nonlinear and non-convex problem. this paper presents a new mathematical model and a constructive heuristic algorithm (CHA) for solving transmission expansion planning problem under new environment of electricity restructuring. CHA finds an acceptable solution in an iterative process, where in each step a circuit is chosen using a sensitivity index and added to the system. The proposed model consider multiple generation scenarios therefore the methodology finds high quality solution in which it allows the power system operate adequacy in an environment with multiple generators scenarios. Case studies and simulation results using test systems show possibility of using Constructive heuristic algorithm in an open access system.

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Organizational change is occurring in the Brazilian agribusiness from sugar cane in recent decades. Aspects of management in this sector are being changed due to the importance of its products, especially ethanol and electricity. It is observed in the literature a lack of quantitative studies in this Brazilian sector, particularly the selection of sugarcane varieties for planting. This study proposes the use of Goal Programming (GP) with Data Envelopment Analysis (DEA) to select efficient varieties of sugarcane for planting in a sugar and ethanol milling company. The study allowed the identification of efficient sugarcane varieties. This way, it helped the company to make more reliable decisions, favoring the increase of productivity

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Pós-graduação em Engenharia Elétrica - FEIS