Jose Lima Alexandrino

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This paper presents four different kinds of Evolutionary Algorithms (EA), for the Vehicle Routing Problem with Time Windows. A comparison among four EAs was made in order to investigate approaches such as genetic memory of populations, which avoids the loss of good genetic threads during search process and the hybridization of the EAs through local search,(More)
The present work proposes the architecture Clonart (Clonal Adaptive Resonance Theory) that employs many different techniques like intelligent operators, clonal selection principle, local search, memory antibodies and ART clusterization in order to increase the performance of the algorithm. The approach uses a mechanism similar to the ART 1 network for(More)
The present work proposes an integration of Clonal Adaptive Resonance Theory framework (Clonart) with Radial Basis Function (RBF) called ClonalRBF. This framework was already used in a handwritten digit classification problem, a forecasting for the Brazilian Energy Distribution System and now a Time Series Analysis in Gas Furnace and Mackey-Glass databases.(More)
The present work describes an application of Clonart (Clonal Adaptive Resonance Theory) for forecasting of amount of precipitation for the Brazilian Energy Distribution System. The effectiveness of the Brazilian electricity system directly depends on the difference between hydroelectric energy production and consumer use. Production depends upon the volume(More)
The discovery of new functionalities through the study of human physiology has contributed toward the evolution of Artificial Immune Systems. The present work investigates a new architecture through observations of natural immunological behavior, for which application to known algorithms contributed toward an improved performance. This paper considers a(More)
The present work utilizes the framework Clonart (Clonal Adaptive Resonance Theory) that employs many different techniques such as intelligent operators, clonal selection principle, local search, memory antibodies and ART clusterization in order to increase the performance of the algorithm. The approach uses a mechanism similar to the ART 1 network for(More)
The present work describes an evolution of the hybrid immune approach called Clonart (Clonal Adaptive Resonance Theory) using ECOS (Evolving Connectionist Systems) architectures. Some improvements were developed to allow the control of the growth of the clusters. Clonart's architecture is an Evolutionary Algorithm biologically inspired on the use of the(More)
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