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19 Papers

Towards an Opportunistic, Socially-driven, Self-organizing, Cloud Networking Architecture with NovaGenesis

Authors: Antonio M. Alberti 1 , Waldir Moreira 2 , Rodrigo da Rosa Righi 3 , Francisco J. Pereira Neto 1 , Ciprian Dobre 4 and Dhananjay Singh 5

Affiliations: 1 Instituto Nacional de Telecomunicações - INATEL, Brazil , 2 COPELABS, Univ. Lusófona, Portugal , 3 Universidade do Vale do Rio dos Sinos, Brazil , 4 Univ. Politechnica of Bucharest, Romania , 5 Hankuk Univ. of Foreign Studies, Korea, Republic of

Digital Object Identifier: 10.5220/0005526300270036

Proceedings of ESaaSA 2015/CLOSER, ISBN: 978-989-758-110-6

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The exponential growth on the number of mobile devices and their capabilities are leveraging new possibilities of networking architectures for processing, storing, and exchanging of information. At a glance, existing architectures take advantage of these devices, the social behavior of their users, and/or the dynamicity on resource usage. Despite of the potential of existing initiatives, they do not interoperate which reduce their applications and deployment. As we walk towards a very dynamic world (regarding the user needs and characteristics, the information traversing the network, and the networking capability to adaptation at both users features and content of the demands levels), these architectures should merge into a solution that fits any type of scenario. In this paper, we specify an opportunistic, socially-driven, self-organizing, cloud networking architecture using a future Internet proposal named NovaGenesis. We highlight the requirements and solutions that NovaGenesis brings to accommodate the inherent challenges of today’s dynamic networking scenario. Thus, we describe a convergent architecture, which integrates the new requirements with the already implemented NovaGenesis features.

A Hybrid Metaheuristic Approach to Optimize the Content Transmission in Multimedia Systems

Topic: Optimization Algorithms

Authors: Arthur T. Gómez , Luan C. Nesi , Marcio G. Martins and Leonardo D. Chiwiacowsky

Affiliation: University of the Sinos Valley, Brazil

Digital Object Identifier: 10.5220/0005063500770084

Proceedings of ICINCO 2014, ISBN: 978-989-758-039-0

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The advent of the digital television in Brazil has allowed users to access interactive channels. Once interactive channels are available, the users are able to find multimedia content such as movies and breaking news programs, to send and/or receive emails, to access interactive applications and also other contents. In this context, a high demand of requests from users is expected. Therefore, from the content provider's point of view, the determination of transmission parameters is needed in order to ensure the best quality of transmission to every user. The aforementioned identification problem is modelled as an optimization problem and a solution procedure based on metaheuristic techniques is proposed. Genetic Algorithm and Tabu Search metaheuristics are employed separately and coupled in a hybrid scheme to define the best transmission policy, optimizing the transmission parameters, such as audio and video transmission rates. Based on the experimental results, the hybrid algorithm has produced better solutions which meet the quality requirements.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Intelligent Control Systems and Optimization

Optimization Algorithms

Cell Formation Problem: An Multithreading Tabu Search for Setup Time Optimization for Limited Machine Magazines - A New Solution for a Classical Problem

Topic: Optimization Algorithms

Authors: Arthur T. Gómez , Felipe R. Ferrary , José V. Canto Dos Santos and Leonardo Chiwiacowsky

Affiliation: Universidade do Vale do Rio dos Sinos – PIPCA, Brazil

Digital Object Identifier: 10.5220/0005063403320339

Proceedings of ICINCO 2014, ISBN: 978-989-758-039-0

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This paper aims to present a solution for the Manufacturing Cell Formation Problem through the use of a multithreading Tabu Search that uses deterministic methods to effectively explore local optimum areas. Manufacturing Cell Formation problem involves the process of analysing parts and groups them according to their similarity. This paper aims maximize the production efficiency, by minimizing the machine setup time in a limited magazine size through the reduction of tool changes by creating clusters of parts that share machining tools and present an initial scheduling based on tool changes reduction. In order to valid the proposed algorithm, the results obtained are compared against other Tabu Search solutions proposed in the literature.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Intelligent Control Systems and Optimization

Optimization Algorithms

A Hybrid Algorithm using Metaheuristics Applied to H.264/AVC Video Encoder

Topics: Genetic Algorithms; Optimization Algorithms

Authors: Arthur Tórgo Gómez and Iris Correa C. Linck

Affiliation: Universidade do Vale do Rio dos Sinos, Brazil

Digital Object Identifier: 10.5220/0004038602120217

Proceedings of ICINCO 2012, ISBN: 978-989-8565-21-1

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This paper focuses on the study and the analysis of the dynamic relationship among six parameters of the H.264/AVC video encoder, that are: frame rate, bit rate, quantization parameter for I slice, B slice, and P slice, and the number of B slices in the GOP (Group of Pictures). For this study, it was developed and implemented a hybrid algorithm called Simulator of Metaheuristics applied to a CODEC (SMC). The SMC algorithm consists of two metaheuristics that are Tabu Search and Genetic Algorithm. It tries to find the best configuration of the studied parameters in order to obtain a good quality and compression of the encoded video in the H.264/AVC standard. The SMC algorithm uses a maximization objective function as an objective evaluation method to reach the proposed goals.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence

Genetic Algorithms

Optimization Algorithms

Computational Intelligence

Informatics in Control, Automation and Robotics

Soft Computing
Evolutionary Computing

Intelligent Control Systems and Optimization

A Hybrid Metaheuristic Approach to Solve the Vehicle Routing Problem with Time Windows

Topics: Genetic Algorithms; Optimization Algorithms

Authors: Arthur T. Gómez 1 , Cristiano Galafassi 2 and Leonardo Chiwiacowsky 2

Affiliations: 1 Universidade do Vale do Rio dos Sinos, Brazil , 2 University of the Sinos Valley and, Brazil

Digital Object Identifier: 10.5220/0004030001830188

Proceedings of ICINCO 2012, ISBN: 978-989-8565-21-1

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This paper addresses the Capacitated Vehicle Routing Problem with Time Windows, with constraints related to the vehicle capacity and time windows for customer service. To solve this problem two different metaheuristics are used: Tabu Search and Genetic Algorithms. Based on these techniques a hybrid algorithm is developed. The main goal is the development of a Hybrid Algorithm focused on the Vehicle Routing Problem which uses the intensification power of the Tabu Search and the diversification power of the Genetic Algorithms, in order to obtain good quality solutions without compromising the computational time. In the experiments are combined policies of diversification and intensification in Tabu Search and Genetic Algorithm to verify the efficiency and robustness of the proposed hybrid algorithm. Finally, the results are compared with the best heuristic and exact methods results found in the literature. The Hybrid Algorithm here proposed shows efficiency and robustness, with several optimal solutions achieved.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence

Genetic Algorithms

Optimization Algorithms

Computational Intelligence

Informatics in Control, Automation and Robotics

Soft Computing
Evolutionary Computing

Intelligent Control Systems and Optimization

An Architecture based on Ontologies, Agents and Metaheuristics Applied to the Multimedia Service of the Brazilian Digital Television System

Topic: Information Retrieval

Authors: Toni Ismael Wickert and Arthur Tórgo Gómez

Affiliation: Universidade do Vale do Rio dos Sinos, Brazil

Digital Object Identifier: 10.5220/0004001402030208

Proceedings of DATA 2012, ISBN: 978-989-8565-18-1

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With the advent of the Brazilian Digital Television System, that arrives on approximately 95% of Brazilian homes, the users will be able to have an interactive channel by the utilization of the digital television. Thus, will be possible to access the multimedia application server, i.e., to send or to receive emails, to access interactive applications, to watch movies or specific news. This paper proposes the development and the implementation of an architecture that includes a module that suggests the content to the user according to his profile and another module to optimize the content that will be transmitted. The implementation was developed using ontologies, software agents, Tabu Search and Genetic Algorithm. The validations of the results are done using a metric.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Applications

Information Retrieval

Pattern Recognition

Data Engineering

Ontologies and the Semantic Web

Software Engineering

Modeling and Visualizing Individual and Global Trends of a Multi-agent System

Topics: Autonomous Agents; Collective and Social Robots

Authors: Vinicius Nonnenmacher , Marta Becker Villamil and Luiz Paulo Luna de Oliveira

Affiliation: Universidade do Vale do Rio dos Sinos, Brazil

Digital Object Identifier: 10.5220/0004047903390344

Proceedings of ICINCO 2012, ISBN: 978-989-8565-22-8

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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 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.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Autonomous Agents

Informatics in Control, Automation and Robotics

Robotics and Automation
Collective and Social Robots

A STUDY FOR MANUFACTURING CELL FORMATION APPROACH CONSIDERING SETUP

Topics: Genetic Algorithms; Optimization Algorithms; Expert Systems for Industry; Planning and Scheduling

Authors: Arthur Tórgo Gómez , Cristiano Galafassi , Iris Corrêa das Chagas Linck and Toni Ismael Wickert

Affiliation: Universidade do Vale do Rio dos Sinos, Brazil

Digital Object Identifier: 10.5220/0003439200430048

Proceedings of ICINCO 2011, ISBN: 978-989-8425-74-4

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This paper proposes a comparison among the exact methods Rank Ordered Cluster, Single Linkage Clustering and the metaheuristics Tabu Search and Genetic Algorithm for Manufacturing Cell Formation Problem. The Manufacturing Cell Formation consists of group machines for processing similar parts or components in order to minimize setup time. Setup time can be defined as the period of downtime between the processing of two consecutive batches. To validate the algorithms results, a metric, group efficacy, is applied to determine the result quality, moreover, the results are compared with examples in the literature.
Collapse Button Related Ontology Subjects/Areas/Topics (17)
Artificial Intelligence

Genetic Algorithms

Optimization Algorithms

Biomedical Engineering

Health Information Systems

Planning and Scheduling

Computational Intelligence

Informatics in Control, Automation and Robotics

Simulation and Modeling

Evolutionary Computing

Intelligent Control Systems and Optimization

Soft Computing

Expert Systems

Knowledge Engineering and Ontology Development

Symbolic Systems
Formal Methods

Knowledge-Based Systems

COMPARYING A TABU SEARCH PROCESS - Using and Not Using and Intensification Strategy to Solve the Vehicle Routing Problem

Topic: Optimization Algorithms

Authors: Etiene Pozzobom Lazzeris Simas and Arthur Tórgo Gómez

Affiliation: Universidade do Vale do Rio dos Sinos, Brazil

Digital Object Identifier: 10.5220/0001638700770084

Proceedings of ICINCO 2007, ISBN: 978-972-8865-82-5

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In this paper we propose a Tabu Search algorithm to solve the Vehicle Routing Problem. The Vehicle Routing Problem are usually defined as the problem that concerns in creation of least cost routs to serve a set of clients by a fleet of vehicles. We develop an intensifications strategy to diversify the neighbours generated and to increase the neighbourhood size. We had done experiments using and not using the intensification strategy to compare the performance of the search. The experiments we had done showed that an intensification strategy allows an increase on the solutions quality.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Intelligent Control Systems and Optimization

Optimization Algorithms

A SOLUTION TO THE VEHICLE ROUTING PROBLEM USING TABU SEARCH

Topic: Optimization Algorithms

Authors: Etiene Pozzobom Lazzeris Simas and Arthur Tórgo Gómez

Affiliation: Universidade do Vale do Rio dos Sinos, Brazil

Digital Object Identifier: 10.5220/0001212000760081

Proceedings of ICINCO 2006, ISBN: 978-972-8865-59-7

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This paper presents a model for solving the Vehicle Routing Problem using Tabu Search. The Vehicle Routing Problem aims to serve a set of clients by a fleet of vehicle through the creation of least-cost routes that satisfy some constraints. In this paper, only the vehicle capacity is considered. The objective of this model is to design least-cost routes to serve a set of clients with known demands in such a way that some defined constraints are satisfied. An application to construct this model is proposed using Tabu Search. Some experiments were generated and confirmed that an increase in diversification on search space politics can generate results that are more qualified.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Intelligent Control Systems and Optimization

Optimization Algorithms

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