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 Ricardo H C Takahashi

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Average citations per article1.97
Citation Count71
Publication count36
Publication years2000-2017
Available for download7
Average downloads per article148.86
Downloads (cumulative)1,042
Downloads (12 Months)58
Downloads (6 Weeks)4
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36 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
July 2017 GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 21,   Downloads (Overall): 21

Full text available: PDFPDF
The restoration of power distribution systems has a crucial role in the electric utility environment, taking into account both the pressure experienced by the operators that must choose the corrective actions to be followed in emergency restoration plans and the goals imposed by the regulatory agencies. In this sense, decision-aiding ...
Keywords: self-healing, smart-grid, optimization, restoration

2
January 2017 Applied Soft Computing: Volume 50 Issue C, January 2017
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Graphical abstractDisplay Omitted HighlightsRobust synthesis of vaccination campaigns is studied with transient and steady-state phases.An evolutionary multiobjective optimization algorithm with local search is proposed.Nondominated policies are run in an individual-based-model to find robust solutions.It can support policymakers to choose the best strategy under investment and efficacy. This paper deals with ...
Keywords: Robust synthesis, Vaccination planning, Genetic algorithms, Multiobjective optimization, Epidemics control

3
May 2016 Operations Research Letters: Volume 44 Issue 3, May 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

This paper proposes a new necessary condition for the infeasibility of nonlinear optimization problems, that becomes also sufficient under a convexity assumption, which is stated as a Pareto-criticality condition of an auxiliary multi-objective optimization problem. This condition is evaluated in a search that either leads to a feasible point or ...
Keywords: Pareto-optimality, Infeasibility certificate, Nonlinear programming

4
February 2016 Information Sciences: an International Journal: Volume 329 Issue C, February 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 1

The problem of task scheduling in manufacturing systems is tackled.An extension of the Supervisory Control of Discrete Event Systems is used to model the constraints.Metaheuristic computation techniques are used to find the optimal schedule that minimizes the makespan.The methodology shows to be robust to uncertainties and plant disturbance effects. A ...
Keywords: Metaheuristics, Optimization, Discrete Event Systems, Scheduling, Supervisory Control Theory

5
June 2014 Information Sciences: an International Journal: Volume 268, June, 2014
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 3

In this paper an interactive method for modeling the preferences of a Decision-Maker (DM) is employed to guide a modified version of the NSGA-II algorithm: the Interactive Non-dominated Sorting algorithm with Preference Model (INSPM). The INSPM's task is to find a non-uniform sampling of the Pareto-optimal front with a detailed ...
Keywords: Utility function model, Evolutionary computation, Interactive algorithm, Multi-objective optimization, RBF network, Progressive preference

6
September 2013 BRICS-CCI-CBIC '13: Proceedings of the 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

This work presents four agents with different strategies to play a version of the 2-sided dominoes game, usually played in Minas Gerais state, Brazil. This incomplete information game must be played with two players and the goal is to discard all tiles first according to the rules. Each pair of ...
Keywords: artificial intelligence, agents, incomplete information game, dominoes

7
December 2012 ICMLA '12: Proceedings of the 2012 11th International Conference on Machine Learning and Applications - Volume 02
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

This paper proposes a method which is suitable for the estimation of the probability of occurrence of a syndrome, as a function of the geographical coordinates of the individuals under risk. The data describing the location of syndrome cases over the population suffers a moving-average filtering, and the resulting values ...
Keywords: neural networks, hypothesis testing, disease cluster, uncertainty interval

8
February 2012 Mathematical Programming: Series A and B: Volume 131 Issue 1-2, February 2012
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 3

This work presents an algorithm for multiobjective optimization that is structured as: (i) a descent direction is calculated, within the cone of descent and feasible directions, and (ii) a multiobjective line search is conducted over such direction, with a new multiobjective golden section segment partitioning scheme that directly finds line-constrained ...
Keywords: Feasible directions, Golden section, Line search

9
February 2012 Mathematical Programming: Series A and B: Volume 131 Issue 1-2, February 2012
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

This work presents an algorithm for multiobjective optimization that is structured as: (i) a descent direction is calculated, within the cone of descent and feasible directions, and (ii) a multiobjective line search is conducted over such direction, with a new multiobjective golden section segment partitioning scheme that directly finds line-constrained ...
Keywords: 90C30, Line search, Multiobjective optimization, 65K05, 90C29, Feasible directions, Golden section

10
April 2011 EMO'11: Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

In this paper, we present a method based on the multiattribute utility theory to approximate the decision-maker preference function. A feature of the proposed methodology is its ability to represent arbitrary preference functions, including functions in which there are non-linear dependencies among different decision criteria. The preference information extracted from ...
Keywords: artificial neural networks, multicriteria decision analysis, MAUT, utility function

11
April 2011 EMO'11: Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

This paper proposes an algorithm to optimize multiple indices of Quality of Service of Multi Protocol Label Switching (MPLS) IP networks. The proposed algorithm, the Variable Neighborhood Multiobjective Genetic Algorithm (VN-MGA), is a Genetic Algorithm based on the NSGA-II, with the particular feature that different parts of a solution are ...
Keywords: multi-objective genetic algorithm, routing on IP networks, variable neighborhood search

12
April 2011 EMO'11: Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

The planning of vaccination campaigns has the purpose of minimizing both the number of infected individuals in a time horizon and the cost to implement the control policy. This planning task is stated here as a multiobjective dynamic optimization problem of impulsive control design, in which the number of campaigns, ...

13
April 2011 EMO'11: Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

Traditional Evolutionary Multiobjective Optimization techniques, based on derivative-free dominance-based search, allowed the construction of efficient algorithms that work on rather arbitrary functions, leading to Pareto-set sample estimates obtained in a single algorithm run, covering large portions of the Pareto-set. However, these solutions hardly reach the exact Pareto-set, which means that ...

14
April 2011 EMO'11: Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

This paper presents a new memory-based variable-length encoding genetic algorithm for solving multiobjective optimization problems. The proposed method is a binary implementation of the NSGA2 and it uses a Hash Table for storing all the solutions visited during algorithm evolution. This data structure makes possible to avoid the re-visitation of ...

15
January 2011 Applied Soft Computing: Volume 11 Issue 1, January, 2011
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 6

In this paper the incipient fault detection problem in induction machine stator-winding is considered. The problem is solved using a new technique of change point detection in time series, based on a two-step formulation. The first step consists of a fuzzy clustering to transform the initial data, with arbitrary distribution, ...
Keywords: Bayesian analysis, Fuzzy clusters, Incipient fault detection, Induction machine stator-winding, Metropolis-Hastings algorithm

16
October 2010 DS-RT '10: Proceedings of the 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

The evolution in the microelectronics and embedded systems has expanded the employment of Wireless Sensor Networks (WSNs). The energy limitation of the nodes is a very important restriction of those structures and should be always considered during the network design. The search for energy-efficient WSNs must take into account aspects ...
Keywords: wireless sensor networks, evolutionary algorithms, performance evaluation

17
April 2010 IEEE Transactions on Evolutionary Computation: Volume 14 Issue 2, April 2010
Publisher: IEEE Press
Bibliometrics:
Citation Count: 4

This paper proposes a normed-space vector representation of networks which allows defining evolutionary operators for network optimization that resemble continuousspace operators. These operators are employed here to build a genetic algorithm which becomes generic for the optimization of tree networks, without the requirement of any special encoding scheme. Such a ...
Keywords: continuous space embedding, network optimization, evolutionary computation, genetic algorithms, Continuous space embedding

18 published by ACM
October 2009 MSWiM '09: Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 8,   Downloads (Overall): 141

Full text available: PDFPDF
The increasing demand for Wireless Sensor Networks (WSN) has intensified studies which aim to obtain energy-efficient solutions, since the energy storage limitation is critical in those systems. However, there are other aspects which usually must be ensured in order to get an acceptable performance of WSNs, such as area coverage ...
Keywords: density control, hybrid algortihms, wireless sensor

19
May 2009 CEC'09: Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Publisher: IEEE Press
Bibliometrics:
Citation Count: 7

The increase in the demand for Wireless Sensor Networks (WSNs) has intensified studies which aim to obtain energy-efficient solutions, since the energy storage limitation is critical in those systems. However, there are other aspects which usually must be ensured in order to provide an efficient design of WSNs, such as ...

20
May 2009 CEC'09: Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

In this paper, we propose a multiobjective evolutionary approach to design a microwave heating device. The goal is to heat the maximum amount of water, above certain temperature, and spending the minimum energy. The device is modeled as a loss multilayer dielectric irradiated by microwave power. The resulting bi-objective problem ...



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