Multiobjective clustering techniques have been used to simul-taneously consider several complementary aspects of cluster-ing quality. They optimize more than one cluster validity index simultaneously, leading to high-...
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ISBN:
(纸本)9780889869837
Multiobjective clustering techniques have been used to simul-taneously consider several complementary aspects of cluster-ing quality. They optimize more than one cluster validity index simultaneously, leading to high-quality results, and have emerged as attractive and robust alternatives for clustering problems. This paper proposes a bee-inspired multiobjective optimization algorithm to solve data clustering problems. The algorithm was run for different datasets and the results ob-tained showed high quality clusters and diversity of solutions, whilst a suitable number of clusters was automatically deter-mined.
Protein structure prediction in three dimensions represents a fundamental challenge in Structural Bioinformatics. Leveraging problem-specific information such as fragment insertion, secondary structure, and contact ma...
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This paper proposes a new model for real-time visualization of the social dynamics as a resultant of individual changes due to their mutual interactions. The model allows the dynamical visualization of both, the indiv...
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ISBN:
(纸本)9789898565211
This paper proposes a new model for real-time visualization of the social dynamics as a resultant of individual changes due to their mutual interactions. The model allows the dynamical visualization of both, the individual characteristics changes as well as the resultant system trends as a whole. As an application, we investigated the role of individual degrees of influence and the number of agents in the global choice of a population between two antagonistic options.
Three-dimensional (3D) representation of cultural heritage in a digital environment is coming into prominence for documentation of geometric and semantic details and the interpretation of shape representation from aca...
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Benefits of a failure friendly culture, e.g., learning from failure, are widely known in occupational settings. Validated scales have been developed to measure organizational failure culture and individuals' mind-...
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Modelling of articulated figures such as simple hierarchical relationships are suitable for most cases of animation. Typically, for the representation of human and animal figures, a tree topology is sufficient. But co...
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ISBN:
(纸本)9789898565716
Modelling of articulated figures such as simple hierarchical relationships are suitable for most cases of animation. Typically, for the representation of human and animal figures, a tree topology is sufficient. But complex high-dimensional articulated structures with many end-effectors and the movement that can be generated in any joint in any direction, are extremely complex to model. Multi-legged robots made to attend applications which needs the extreme versatility to climb or move into places of very difficult access are more efficient if its joints can perform motion at standard and reverse direction, its segments can be moved by more than one joint and any of its joints can be the root of the motion chain. This article presents an approach to deal with these gaps in modeling the motion topology of legged-robots based on rotation of joints references frames. We also present an aplication of an hybrid algorithm based on Genetic Algorithm and Tabu Search to find a good quality solution to the robot motion sequences.
Elasticity is one of the most known capabilities related to cloud computing, being largely deployed using thresholds. In this way, limits are used to drive resource mangement actions, leading to the following problem ...
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Elasticity is one of the most known capabilities related to cloud computing, being largely deployed using thresholds. In this way, limits are used to drive resource mangement actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? And what is the impact of the application's load pattern in the elasticity? This article answers these questions for iterative high performance computing applications, showing the impact of both thresholds and load patterns on application performance and resource consumption. To accomplish this, we developed a reactive and PaaS-based elasticity model called AutoElastic and employed it over a private cloud to execute a numerical integration application. Here, we are presenting an analysis of best practices and possible optimizations regarding the elasticity and HPC pair. Considering the results, we observed that the upper threshold influences the application time more than the lower one.
Several real-world optimization problems manipulate discrete variables, involve with many objectives and vary along the time, that is, they are dynamic. Recent works have focused on investigate dynamic multiobjective ...
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ISBN:
(数字)9781728185262
ISBN:
(纸本)9781728185279
Several real-world optimization problems manipulate discrete variables, involve with many objectives and vary along the time, that is, they are dynamic. Recent works have focused on investigate dynamic multiobjective optimization problems (DMOPs), which adds an additional challenge to the search convergence. Some evolutionary strategies have emerged based on the adaptation of consagrated multiobjective algorithms previously proposed for static continuous optimization problems, such as, NSGA-II and MOEA/D. This work presents a novel evolutionary algorithm for dynamic discrete many-objective problems named D-MEANDS. It uses the subjacent search proposed in MEANDS. This algorithm has been successfully investigated in static MOPs and herein we propose some adaptations to be used in DMOPs. A comparative analysis of the new proposal is made using two DMOP evolutionary algorithms from the literature: DNSGA-II and MS-MOEA. A dynamic many-objective version of the knapsack problem (KP), known as dynamic multiobjective knapsack problem (DMKP), was explored. Results using DMKP formulations with 4 and 6 objectives suggest that D-MEANDS is a promising algorithm to deal with DMOPs with many objectives.
In order to have a competitive software industry, it is essential to adopt standards and reference models of software processes quality. However, despite the growing adoption of standards and models, the number of org...
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