Search results for: Fernando Buarque de Lima Neto
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Annals of Computer Science and Information Systems > 2020 > Vol. 21 > 587--590
Process mining has emerged as a new scientific research topic on the interface between process modeling and event data gathering. In the search for process models that best fit to reality, the process discovery approach of creating referential processes from observed behavior. However, despite these methods showing relevant results, when faced with noisy and divergent tendencies they end up producing...
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Gait & Posture > 2017 > 57 > C > 204-210
The conventional methods to assess human gait are either expensive or complex to be applied regularly in clinical practice. To reduce the cost and simplify the evaluation, inertial sensors and adaptive algorithms have been utilized, respectively. This paper aims to summarize studies that applied adaptive also called artificial intelligence (AI) algorithms to gait analysis based on inertial sensor...
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Joao Batista Monteiro Filho,
Isabela M. C. de Albuquerque,
Fernando Buarque de Lima Neto,
Filipe V. S. Ferreira
In this article we investigate the effectiveness of a stagnation avoidance routine devised for Fish School Search algorithm, which is a novel nature inspired population based search procedure effective for continuous optimization problems. Here we used and modified either Vanilla and a niching version of the algorithm in order to improve their exploratory ability with the introduction of a stochastic...
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The propagation of diseases within the population is an ever-reappearing hot topic in news stories. Mutations of known diseases repeatedly infected large portions of the population. In order to support the select appropriate mechanisms to help taming the spread of an epidemic, several simulation approaches have been developed to forecast the propagation behavior of diseases. Agent-based micro simulations...
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Isabela M. C. de Albuquerque,
Joao Monteiro Filho,
Fernando Buarque de Lima Neto,
Alany Maria de Oliveira Silva
Assembly lines constitute the main production paradigm of the contemporary manufacturing industry. Thus, many optimization problems have been studied aiming to improve the efficacy of its use. In this context, the problem of balancing an assembly line plays a key role. This problem is of combinatorial nature and also NP-Hard. For this reason, many researchers on computational intelligence and industrial...
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A well defined testing strategy is essential for any software development project. Testing efforts need to be carefully planed and executed in order to ensure effectiveness. Programming failures can represent a high risk for business. In order to mitigate such risk, companies have been increasingly investing more resources on software testing.
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2015 IEEE Symposium Series on Computational Intelligence > 1029 - 1038
Today's supply chain are highly complex and globally set-up underlying a constant change with increasing speed. This has to be reflected by the planning processes and algorithms being utilized in the different stages of a supply chain. In the context of production planning, meta-heuristics are usually applied due to their ability to handle high complex problems. As a consequence, these algorithms...
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Breno Augusto de Melo Menezes,
Diego de Siqueira Braga,
Bernd Hellingrath,
Fernando Buarque de Lima Neto
In the planning process of a supply chain, demand forecast have an important role in planning process of a company. The forecasts have to be as accurate as possible in order to allow the optimization of production, avoiding extra stocking costs or lost sales. In the case of spare parts, the challenge arises as the demand presents intermittent behavior. Nowadays, many forecast techniques, namely ARIMA...
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This work further investigates how weight based FSS (i.e. almost only use of local information) can impact in the automatic splitting the school for solution of multimodal bench mark problems. The chief modification to standard FSS, in order to produce the wFSS, was the introduction of a relationship among fish solely relying on factual already existing indications of individual success. The implementation...
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IEEE Latin America Transactions > 2014 > 12 > 2 > 205 - 211
The expressive growth in number of healthcare organizations has brought a great pressure on the Hospital Information Management. The increase in the number of patients imposes an extra burden to IT services of hospitals, whose information has to be used for administrative purposes but also has to be provided as actual aid for doctors. At the epicenter of this demand, Support Systems for Clinical Diagnostics,...
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A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem. This method is tested on a GARTEUR SM-AG19 aeroplane structure. The results of this algorithm are compared with two other metaheuristic algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It is observed that on average, the FSS and PSO algorithms...
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Diego de Siqueira Braga,
Felipe Omena M. Alves,
Luis Carlos de S. Menezes,
Fernando Buarque de Lima Neto
Social simulation is a recently founded research area in which there are not that many tools. Net Logo, one popular representative tool is a modeling and simulation environment that provides a basic infrastructure for programming agent based simulations. Net Logo and other tools incur in the same problem that is sometimes agent characteristics and model features are defined together originating a...
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In this paper, we propose a new methodology based on the Negative Selection Algorithm that belongs to the field of Computational Intelligence (specifically, Artificial Immune Systems - AIS) to identify takeover targets. Although considerable research based on customary statistical techniques and some contemporary Computational Intelligence techniques have been devoted to identify takeover targets,...
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This work delves into variations of FSS that uses local information (i.e. fish weights) for splitting the school and presents comparative analyses of the new method, tried here in three ways. Hence, this is an attempt to create a more economical alternative for the best performing multimodal version of the algorithm FSS, the dFSS. The work capitalizes on some modifications in the Collective Instinctive...
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We are living in an era where technology has become an essential resource for modern human welfare. Critical services like water supply, energy and transportation are controlled by computational systems. These systems must be reliable and constantly audited against software and hardware failures and malicious attacks. As a preventive approach against software vulnerabilities on critical systems, this...
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Companies are often susceptible to uncertainties which can disturb the achievement of their objectives. The effect of these uncertainties can be perceived as risk that will be taken. A healthful company have to anticipate undesired events by defining a process for managing risks. Risk management processes are responsible for identifying, analyzing and evaluating risky scenarios and whether they should...
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Agent-Based Social Simulations have been largely used to study social phenomena. These kinds of simulations are related to reproduce real societies (e.g. social behaviors) using a bottom-up strategy. In classical social simulations, plausible macro-behaviors are only obtained if the social scientists input every features, components and relationships. Alternatively, modern agent-based modeling tools...
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Renata L. M. E. do Rego,
Hansenclever F. Bassani,
Aluizio F. R. Araujo,
Fernando Buarque de Lima Neto
This work presents an evolutionary algorithm to reconstruct 3D objects based on images of them. In the proposed evolutionary algorithm, we describe a way to evolve 3D initial models to a target object by means of comparisons between images generated from the models and images of target object, in which the acquisition position is known. We proposed a modification in the standard evolutionary strategy...
