Guarapuava, Brazil
Guarapuava, Brazil

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Venske S.M.,UNICENTRO | Goncalves R.A.,UNICENTRO | Benelli E.M.,Federal University of Paraná | Delgado M.R.,Federal Technological University of Paraná
Expert Systems with Applications | Year: 2016

Protein Structure Prediction (PSP) is the process of determining three-dimensional structures of proteins based on their sequence of amino acids. PSP is of great importance to medicine and biotechnology, e.g., to novel enzymes and drugs design, and one of the most challenging problems in bioinformatics and theoretical chemistry. This paper models PSP as a multi-objective optimization problem and adopts ADEMO/D (Adaptive Differential Evolution for Multi-objective Problems based on Decomposition) on its optimizer platform. ADEMO/D has been previously applied to multi-objective optimization with a lot of success. It incorporates concepts of problem decomposition and mechanisms of mutation strategies adaptation. Decomposition-based multi-objective optimization tends to be more efficient than other techniques in complex problems. Adaptation is particularly important in bioinformatics because it can release practitioners, with a great expertise focused on the application, from tuning optimization algorithm's parameters. ADEMO/D for PSP needs a decision maker and this work tests four different methods. Experiments consider off-lattice models and ab initio approaches for six real proteins. Results point ADEMO/D as a competitive approach for total energy and conformation similarity metrics. This work contributes to different areas ranging from evolutionary multi-objective optimization to bioinformatics as it extends the application universe of adaptive problem decomposition-based algorithms, which despite the success in various areas are practically unexplored in the PSP context. © 2016 Elsevier Ltd. All rights reserved.


This study aimed to evaluate the occurrence of ground pearl (Eurhizococchus brasiliensis), as well as the vegetative growth and the phenology of 'Isabel', 'Bordô' (Vitis labrusca L.), 'Cabernet Sauvignon', 'Malbec' and 'Merlot' grapes (Vitis vinifera L.) grafted on the rootstocks 'Paulsen 1103' and 'VR 043-43 '. The experiment was carried out at the experimental area of Agronomy Department of Universidade do Centro-Oeste (Unicentro), in Guarapuava, PR, Brazil during the 2010/2011 crop season. The statistical design was randomized blocks in factorial 5 x 2 (cultivar x rootstock), with 10 treatments, five repetitions and three plants per plot. Each block consisted of a plant line. The evaluations were: shoot fresh (SFM) and dry (SDM) mass of material from the production pruning. After harvest, the grapevines were removed from the soil and then the number of ground pearl per plant (GPP), the root fresh (RFM) and dry (RDM) mass, the stem fresh (SFM) and dry (SDM) mass were evaluated. In addition, the duration of the phenological stages was evaluated, according to Eichhorn and Lorenz (1984). It was verified that the vines grafted on 'VR 043- 43' had a lower number of cysts of ground pearl, but this factor had a positive effect only on the vegetative development of American cultivars. For the other variables analyzed there was no influence of the rootstock.


Goncalves R.A.,UNICENTRO | Almeida C.P.,UNICENTRO | Pozo A.,Federal University of Paraná
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

Adaptive Operator Selection (AOS) is a method used to dynamically determine which operator should be applied in an optimization algorithm based on its performance history. Recently, Upper Confidence Bound (UCB) algorithms have been successfully applied for this task. UCB algorithms have special features to tackle the Exploration versus Exploitation (EvE) dilemma presented on the AOS problem. However, it is important to note that the use of UCB algorithms for AOS is still incipient on Multiobjective Evolutionary Algorithms (MOEAs) and many contributions can be made. The aim of this paper is to extend the study of UCB based AOS methods. Two methods are proposed: MOEA/D-UCB-Tuned and MOEA/D-UCB-V, both use the variance of the operators’ rewards in order to obtain a better EvE tradeoff. In these proposals the UCB-Tuned and UCB-V algorithms from the multiarmed bandit (MAB) literature are combined with MOEA/D (MOEA based on decomposition), one of the most successful MOEAs. Experimental results demonstrate that MOEA/D-UCB-Tuned can be favourably compared with state-of-the-art adaptive operator selection MOEA/D variants based on probability (ENS-MOEA/D and ADEMO/D) and multi-armed bandits (MOEA/D-FRRMAB) methods. ©Springer International Publishing Switzerland 2015


In front of impacts arising from the process of urbanization, one of the ways to facilitate the improvement of life quality of urban population is to perform the planning and the planting of trees, in private or public areas. The environmental or socio-economic benefits desired with street trees come from the top of the trees and from the covering mantle formed over the streets. In this way, the goal of this research was to analyze the distribution and dynamics of crown area classes of trees measured in two inventories held in Curitiba streets trees in 1984 and 2010. Data distribution in crown area classes, for the total data and each parcel sampled, demonstrated that there is a tendency for a descending distribution curve type, typical of multi-year and multispecific stands, both for the year 1984 as for the year 2010, with greater frequency of individuals in the crown area class 0{box drawings light vertical and right} 50m 2. However, when data was analyzed for the main species it was found that for some of them the distribution curve changed from a descending type, in 1984, to a unimodal type, in 2010. There was greater_ recruitment of remaining trees in classes 50 - 100m 2 and 100 - 150m 2 and larger class removal of class 0{box drawings light vertical and right} 50m 2. It was concluded that it was possible to understand, in part, behavioral characteristics of the species and verify signs of maturing of Curitiba streets trees when analyzed 26 years later.


Venske S.M.S.,Federal Technological University of Paraná | Goncalves R.A.,UNICENTRO | Delgado M.R.,Federal Technological University of Paraná
Proceedings - Brazilian Symposium on Neural Networks, SBRN | Year: 2012

This paper proposes a method for continuous optimization based on Differential Evolution (DE). The approach named Adaptive Differential Evolution for Multiobjective Problems (ADEMO/D) incorporates concepts of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) and mechanisms of mutation strategies adaptation inspired by the adaptive DE named Self-adaptive Differential Evolution (SaDE). Additionally a new mutation strategy, based on MOEA/D neighborhood concept, is proposed to be used in the strategy candidate pool. ADEMO/D is compared with three multi-objective optimization approaches using a set of benchmarks. The preliminary results are very promising and stand the proposed approach as a candidate to the State-of-art for multi-objective optimization. © 2012 IEEE.


This study aimed to evaluate the rooting of apical, intermediate and basal ministumps of Eucalyptus benthamii Maiden et Cambage. The minicuttings were collected from ministumps originated from seedlings. The experiment was conducted in a completely randomized design, in a 4x3 factorial arrangement with factors consisting of four clones of E. benthamii (C50, C51, C52 e C53) and three types of cuttings (apical, intermediate and basal). The survival and rooting were evaluated with 45 days in shadow house, and 90 days in the full sun stage. In the end of the evaluations, the clone C52 proved to be better in survival, rooting and height growth. In full sun stage, when the seedlings completed the development cycle, the apical minicutting proved to be the kind of propagules with grater aptitude on rooting when compared with the others clones.


Schwarz K.,UNICENTRO | de Resende J.T.V.,UNICENTRO | Preczenhak A.P.,UNICENTRO | de Paula J.T.,UNICENTRO | And 2 more authors.
Horticultura Brasileira | Year: 2013

The evaluation of cultivars within the same soil and climatic conditions allows comparison of genotypes for its yield and quality potential, seeking to establish the most adapted for each region. This study aimed to evaluate the yield and fruit quality of tomato hybrids grown without guiding, for fresh consumption and processing. The field experiment was carried out in Pinhão, Paraná state, Brazil, in two years (2009/2010 and 2010/2011). The experimental design was a randomized complete block with four replications. Ten tomato hybrids were used (Supera, Granadero, AP-529, AP-533, Kátia, Laura, Fascínio, Tinto, Red Spring and Vênus). We evaluated total and marketable yield, average fruit weight, fruit damage, presence of peduncle; and characteristics of quality: dry mass, fruit firmness, mesocarp thickness, soluble solids, titratable acidity, soluble solids/ titratable acidity ratio, pH, ascorbic acid, lycopene and reducing sugars. Granadero was the hybrid with the highest total yield (112.5 t ha-1 in 2009/2010 and 78.5 t ha-1 in 2010/2011) and marketable yield (88.7 t ha-1 in 2009/2010 and 69.0 t ha-1 in 2010/2011) in two years of experiment, as well as the highest dry matter and soluble solids and the highest mesocarp thickness. Tinto and Venus also stood out in total and marketable yield and the hybrid which had the highest average fruit weight was Venus (99.9 g). For the soluble solids/ titratable acidity ratio, Granadero, Venus, Supera, Tinto and Fascínio showed ratios above 10 in both years. Laura, Red Spring and Venus showed good values for ascorbic acid and lycopene. Overall, the best performing hybrid for traits and for both segments was Granadero, but this hybrid showed low genotypic stability. So Venus and Tinto, despite lower yields, could be recommended because they presented good quality and stability to the region.


Forest management can alter the structure of vegetation (layer), particularly in areas used for pasture, such as the Faxinal areas in the south central region of Paraná, Brazil. Therefore, the aims of the present study were as follows: a) to assess rain interception in secondary forests; b) to estimate the maximum precipitation intercepted by the forest; and c) to discuss the possible implications of throughfall for the hydrologic processes of the secondary forest (Faxinal). Nine 20-cm-diameter rain gauges (314 cm2) were used. Rain gauges were distributed randomly throughout the forest and were successively rotated after a specific number of rainfalls. A total of 66 rainfall events of different volumes were recorded. We observed that an increase in rain volume tended to homogenize the rainfall interception rate in the forest. Consecutive rainfalls did not significantly influence the interception rate in the secondary forest. However, the interception in the secondary forest (10.5%) was lower than the mean interception rate recorded in other Brazilian forests. © 2015, Federal University of Lavras.


This study verified the effect of fertilizer reduction and nitrogen (N) rates and splitting on the growth and yield of potato plants. Two experiments were formed and were planted in January (1st experiment) and November (2nd experiment) 2006 in Guarapuava, Paraná state, Brazil, using cultivar Agata. In the 1st experiment, three treatments were tested with smaller amount of fertilizer compared with the control, which simulated the traditional fertilization, in randomized blocks with 4 replications. In the 2nd experiment, rates (3) and splitting (with and without) of nitrogen (N) were evaluated, in 3 x 2 factorial scheme in randomized blocks with 3 replications. In both experiments, plants were collected at three growth stages: beginning of flowering, maximum shoot growth and after physiological maturity (harvest). At the beginning of flowering, no difference in any analyzed parameters was observed in both experiments. However, at the maximum shoot growth, leaf area index (LAI) and shoot dry weight (DW) were higher in control in the 1st experiment, and N applied totally at planting resulted in plants with higher LAI and tuber DW in the 2nd experiment. At harvest the control had higher tuber mass, mainly because of higher production of middle-sized tubers in the 1st experiment; N rates negatively affected the percentage of tuber DW and interaction occurred with rate and splitting of N in tuber mass: the smallest rate of N was helped by splitting in the 2nd experiment. In this study the traditional growers’ fertilization and the smallest rate of N, splitting half at planting and half at hilling, resulted in high tuber yield. © 2015 Sociedade de Olericultura do Brasil. All rights reserved.


Venske S.M.,UNICENTRO | Venske S.M.,Federal Technological University of Paraná | Goncalves R.A.,UNICENTRO | Delgado M.R.,Federal Technological University of Paraná
Neurocomputing | Year: 2014

This paper presents an approach for continuous optimization called Adaptive Differential Evolution for Multiobjective Problems (ADEMO/D). The approach incorporates concepts of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) and mechanisms of strategies adaptation. In this work we test two methods to perform adaptive strategy selection: Probability Matching (PM) and Adaptive Pursuit (AP). PM and AP are analyzed in combination with four credit assignment techniques based on relative fitness improvements. The DE strategy is chosen from a candidate pool according to a probability that depends on its previous experience in generating promising solutions. In experiments, we evaluate certain features of the proposed approach, considering eight different versions while solving a well established set of 10 instances of Multiobjective Optimization Problems. Next the best-so-far version (ADEMO/D) is confronted with its non-adaptive counterparts. Finally ADEMO/D is compared with four important multiobjective optimization algorithms in the same application context. Pareto compliant indicators and statistical tests are applied to evaluate the algorithm performances. The preliminary results are very promising and stand ADEMO/D as a candidate to the state-of-the-art for multiobjective optimization.© 2013 Elsevier B.V.

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